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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4
5.99MB
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4
8.78MB
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4
11.11MB
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02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4
5.83MB
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02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4
13.98MB
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03 Momentum and adaptive learning rates/007 Momentum.mp4
3.18MB
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03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4
14.6MB
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03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4
5.09MB
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03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4
10.98MB
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04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4
5.51MB
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04 Choosing Hyperparameters/012 Grid Search in Code.mp4
13.76MB
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04 Choosing Hyperparameters/013 Random Search in Code.mp4
7.93MB
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05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4
19.35MB
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05 Theano/015 Building a neural network in Theano.mp4
21.79MB
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06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4
17.11MB
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06 TensorFlow/017 Building a neural network in TensorFlow.mp4
23.84MB
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07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4
25.68MB
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07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4
5.22MB
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07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4
4.46MB
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07 GPU Speedup Homework and Other Misc Topics/021 How to Improve your Theano and Tensorflow Skills.mp4
7.33MB
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07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4
9.13MB
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08 Modern Regularization Techniques/023 Dropout Regularization.mp4
22.7MB
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08 Modern Regularization Techniques/024 Dropout Intuition.mp4
6.14MB
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09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4
21.43MB
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09 Project Facial Expression Recognition/026 The class imbalance problem.mp4
10.11MB
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09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4
13.48MB
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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4
43.98MB
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09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4
37.39MB
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10 Appendix/030 Manually Choosing Learning Rate and Regularization Penalty.mp4
7.06MB
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10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
43.92MB
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10 Appendix/032 How to Code by Yourself part 1.mp4
24.53MB
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10 Appendix/033 How to Code by Yourself part 2.mp4
14.8MB
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[DesireCourse.Com].txt
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[DesireCourse.Com].url
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