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A deep understanding of deep learning (with Python intro)

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21.34GB

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2021-09-03

Keywords:

deep understanding of deep learning with Python intro

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File Name

Size

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.mp4

260.56MB

TutsNode.com.txt

63B

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/02 Download all course materials/003 DUDL_PythonCode.zip

700.8KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.en.srt

40.51KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/013 Multi-output ANN (iris dataset).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/009 Learning rates comparison.en.srt

36.24KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/02 Download all course materials/002 My policy on code-sharing.en.srt

2.52KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).en.srt

36.14KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/006 ANN for regression.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/006 Autoencoder with tied weights.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/004 Classify Gaussian blurs.en.srt

34.26KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/008 ANN for classifying qwerties.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/004 Dropout regularization in practice.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/003 FFN to classify digits.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/009 Learning-related changes in weights.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/001 Convolution_ concepts.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/002 Linear GAN with MNIST.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/005 The latent code of MNIST.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/003 Dropout regularization.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/018 Model depth vs. breadth.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/001 Introduction to this section.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/005 Creating functions.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/003 Convolution in code.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/005 Cross-validation -- scikitlearn.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/010 CodeChallenge_ Custom loss functions.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/010 Multilayer ANN.en.srt

29.4KB

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.mp4

216.82MB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/003 CodeChallenge_ unbalanced data.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/003 CodeChallenge_ How many units_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/007 Pretraining with autoencoders.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/007 Data feature augmentation.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/007 CodeChallenge_ manipulate regression slopes.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/008 while loops.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/004 Project 2_ My solution.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/007 Booleans.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/008 Softmax.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/002 Variables.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/007 Parametric experiments on g.d.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/006 Weight regularization (L1_L2)_ math.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/004 Making the graphs look nicer.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/015 Loss functions in PyTorch.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/001 The perceptron and ANN architecture.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/003 Math and printing.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/008 Max_mean pooling.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/008 Classes and object-oriented programming.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/012 Creating and using custom DataLoaders.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/009 Activation functions.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/001 Anatomy of a torch dataset and dataloader.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/006 Images.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/016 Depth vs. breadth_ number of parameters.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/002 The _wine quality_ dataset.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/006 Initializing variables.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/25 Where to go from here_/002 How to read academic DL papers.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/004 AEs for occlusion.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/010 Function error checking and handling.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/003 For loops.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/006 CodeChallenge_ Softcode internal parameters.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/013 CodeChallenge_ Predict sugar.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/002 Cross-validation.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/001 Transfer learning_ What, why, and when_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/003 Gradient descent in 1D.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/006 CodeChallenge_ Xavier vs. Kaiming.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/005 Transfer learning with ResNet-18.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/005 CodeChallenge_ Data normalization.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/016 Derivatives_ intuition and polynomials.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/008 Do autoencoders clean Gaussians_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/001 Printing and string interpolation.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/014 Loss functions.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/005 Are artificial _neurons_ like biological neurons_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/010 Tangent_ Notebook revision history.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/005 Data oversampling in MNIST.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/011 Image transforms.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4

201.31MB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/002 A surprising demo of weight initializations.en.srt

23.89KB

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/001 GAN_ What, why, and how.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/002 Data size and network size.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/003 The role of DL in science and knowledge.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/011 Discover the Gaussian parameters.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/003 Subplot geometry.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/008 CodeChallenge_ fixed vs. dynamic learning rate.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/003 CodeChallenge_ Minibatch size in the wine dataset.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/002 If-else statements, part 2.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/002 Denoising MNIST.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/005 Xavier and Kaiming initializations.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/012 Mean and variance.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/17 Running models on a GPU/001 What is a GPU and why use it_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/004 CNN GAN with Gaussians.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/019 Optimizers (RMSprop, Adam).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/006 Distributions of weights pre- and post-learning.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/010 Save the best-performing model.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/007 Single-line loops (list comprehension).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/001 If-else statements.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/005 Gradient descent in 2D.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/009 Broadcasting in numpy.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/001 What is an artificial neural network_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/001 Overview of gradient descent.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/007 Matrix multiplication.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/003 CodeChallenge_ letters to numbers.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/004 Lists (1 of 2).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/016 More practice with multioutput ANNs.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/003 Python libraries (pandas).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/002 Python libraries (numpy).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/007 Transpose convolution.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/004 Data normalization.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/29 Python intro_ Functions/006 Global and local variable scopes.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/011 Where to find online datasets.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/020 Diversity of ANN visual representations.html

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/009 Pooling in PyTorch.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/015 CodeChallenge_ Varying number of channels.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/015 The t-test.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/002 A geometric view of ANNs.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/004 APRF example 1_ wine quality.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/008 Freezing weights during learning.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/004 Running experiments to understand DL.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/017 Defining models using sequential vs. class.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/001 Regularization_ Concept and methods.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/007 L2 regularization in practice.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/005 The Conv2 class in PyTorch.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/03 Concepts in deep learning/002 How models _learn_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/002 The MNIST dataset.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/006 Batch normalization.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/006 Data noise augmentation (with devset+test).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/004 Cross-validation -- manual separation.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/004 CodeChallenge_ Weight variance inits.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/001 What is overfitting and is it as bad as they say_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/003 Theory_ Why and how to initialize weights.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/011 Min_max and argmin_argmax.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/28 Python intro_ Indexing, slicing/001 Indexing.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/012 CodeChallenge_ Effects of mini-batch size.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/004 Convolution parameters (stride, padding).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/002 Accuracy, precision, recall, F1.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/28 Python intro_ Indexing, slicing/002 Slicing.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/007 CodeChallenge_ Identically random weights.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/023 Learning rate decay.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/014 CodeChallenge_ more qwerties!.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/007 CodeChallenge_ MNIST and breadth vs. depth.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/002 Plotting dots and lines.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/008 L1 regularization in practice.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/003 ANN math part 1 (forward prop).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/15 Weight inits and investigations/001 Explanation of weight matrix sizes.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/002 What about local minima_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/13 Measuring model performance/005 APRF example 2_ MNIST.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/002 Project 1_ My solution.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/27 Python intro_ Data types/008 Dictionaries.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/002 Project 1_ My solution.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/010 Activation functions in PyTorch.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/001 What are autoencoders and what do they do_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/20 CNN milestone projects/005 Project 4_ Psychometric functions in CNNs.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/009 Training in mini-batches.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/002 The Gram matrix (feature activation covariance).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/005 Accountability and making ethical AI.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/10 Metaparameters (activations, optimizers)/024 How to pick the right metaparameters.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/007 CodeChallenge_ How wide the FC_.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/010 Shifted MNIST.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/05 Math, numpy, PyTorch/013 Random sampling and sampling variability.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/30 Python intro_ Flow control/004 Enumerate and zip.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/06 Gradient descent/004 CodeChallenge_ unfortunate starting value.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/011 CodeChallenge_ The mystery of the missing 7.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/31 Python intro_ Text and plots/005 Seaborn.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/001 The canonical CNN architecture.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/010 Batch training in action.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/005 ANN math part 3 (backprop).en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/003 Some other possible ethical scenarios.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/003 The style transfer algorithm.en.srt

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/24 Ethics of deep learning/004 Will deep learning take our jobs_.en.srt

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