Building Machine Learning Systems with TensorFlow [Video] torrent, magnet, bt

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Building Machine Learning Systems with TensorFlow [Video]

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2019-07-16

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Building Machine Learning Systems with TensorFlow Video

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File Name

Size

1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4

12.55MB

1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4

19.61MB

1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4

14.35MB

1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4

29.6MB

1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4

19.07MB

1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4

15.74MB

2.1-Learning from Data –Unsupervised Learning - Building Machine Learning Systems with TensorFlow [Video].mp4

4.82MB

2.2-Mechanics of k-Means - Building Machine Learning Systems with TensorFlow [Video].mp4

6.63MB

2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4

15.39MB

2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4

16.01MB

2.5-Project 2 – Nearest Neighbor on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4

8.39MB

3.1-Univariate Linear Modelling Function - Building Machine Learning Systems with TensorFlow [Video].mp4

9.43MB

3.2-Optimizer Methods in TensorFlow – The Train Module - Building Machine Learning Systems with TensorFlow [Video].mp4

6.03MB

3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4

18.76MB

3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4

19.15MB

4.1-Logistic Function Predecessor – The Logit Functions - Building Machine Learning Systems with TensorFlow [Video].mp4

7.32MB

4.2-The Logistic Function - Building Machine Learning Systems with TensorFlow [Video].mp4

10.12MB

4.3-Univariate Logistic Regression - Building Machine Learning Systems with TensorFlow [Video].mp4

25.08MB

4.4-Univariate Logistic Regression with keras - Building Machine Learning Systems with TensorFlow [Video].mp4

10.14MB

5.1-Preliminary Concepts - Building Machine Learning Systems with TensorFlow [Video].mp4

14.03MB

5.2-First Project – Non-Linear Synthetic Function Regression - Building Machine Learning Systems with TensorFlow [Video].mp4

10.79MB

5.3-Second Project – Modeling Cars Fuel Efficiency with Non-Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4

13.55MB

5.4-Third Project – Learning to Classify Wines Multiclass Classification - Building Machine Learning Systems with TensorFlow [Video].mp4

11.27MB

6.1-Origin of Convolutional Neural Networks - Building Machine Learning Systems with TensorFlow [Video].mp4

7.06MB

6.2-Applying Convolution in TensorFlow - Building Machine Learning Systems with TensorFlow [Video].mp4

15.2MB

6.3-Subsampling Operation –Pooling - Building Machine Learning Systems with TensorFlow [Video].mp4

8.96MB

6.4-Improving Efficiency – Dropout Operation - Building Machine Learning Systems with TensorFlow [Video].mp4

5.8MB

6.5-Convolutional Type Layer Building Methods - Building Machine Learning Systems with TensorFlow [Video].mp4

2.71MB

6.6-MNIST Digit Classification - Building Machine Learning Systems with TensorFlow [Video].mp4

13.59MB

6.7-Image Classification with the CIFAR10 Dataset - Building Machine Learning Systems with TensorFlow [Video].mp4

10.17MB

7.1-Recurrent Neural Networks - Building Machine Learning Systems with TensorFlow [Video].mp4

6.96MB

7.2-AFundamental Component – Gate Operation and Its Steps - Building Machine Learning Systems with TensorFlow [Video].mp4

7.82MB

7.3-TensorFlow LSTM Useful Classes and Methods - Building Machine Learning Systems with TensorFlow [Video].mp4

4.25MB

7.4-Univariate Time Series Prediction with Energy Consumption Data - Building Machine Learning Systems with TensorFlow [Video].mp4

10.91MB

7.5-Writing Music a la Bach - Building Machine Learning Systems with TensorFlow [Video].mp4

30.42MB

8.1-Deep Neural Network Definition and Architectures Through Time - Building Machine Learning Systems with TensorFlow [Video].mp4

5.12MB

8.2-Alexnet - Building Machine Learning Systems with TensorFlow [Video].mp4

8.95MB

8.3-Inception V3 - Building Machine Learning Systems with TensorFlow [Video].mp4

2.2MB

8.4-Residual Networks (ResNet) - Building Machine Learning Systems with TensorFlow [Video].mp4

4.04MB

8.5-Painting with Style – VGG Style Transfer - Building Machine Learning Systems with TensorFlow [Video].mp4

11.83MB

9.1-Windows Installation - Building Machine Learning Systems with TensorFlow [Video].mp4

9.82MB

9.2-MacOS Installation - Building Machine Learning Systems with TensorFlow [Video].mp4

10.15MB

Code/Section 1/.ipynb_checkpoints/Section1-checkpoint.ipynb

2.81MB

Code/Section 1/csv_1.0.py

741B

Code/Section 1/iris.csv

3.71KB

Code/Section 1/Section1.ipynb

2.81MB

Code/Section 2/Section2.ipynb

707.44KB

Code/Section 3/Section3.ipynb

108.49KB

Code/Section 3/utils.py

2.25KB

Code/Section 4/CH4_Univariate_logistic_regression.ipynb

55.91KB

Code/Section 4/CH4_Univariate_logistic_regression.py

3.92KB

Code/Section 4/data/CHD.csv

609B

Code/Section 4/Univariate_logistic_regression_keras.ipynb

13.56KB

Code/Section 4/Univariate_logistic_regression_keras.py

1.04KB

Code/Section 5/CH5_linear_regression_nn.ipynb

19.69KB

Code/Section 5/CH5_linear_regression_nn.py

1.97KB

Code/Section 5/CH5_Nonlinear.ipynb

102.39KB

Code/Section 5/CH5_Nonlinear.py

1.7KB

Code/Section 5/Ch5_third_example.ipynb

27.46KB

Code/Section 5/Ch5_third_example.py

1.9KB

Code/Section 5/data/mpg.csv

17.31KB

Code/Section 5/data/wine.csv

10.63KB

Code/Section 6/CH6_CIFAR.ipynb

15.58KB

Code/Section 6/CH6_convolution.ipynb

2.45KB

Code/Section 6/CH6_convolution.py

1.38KB

Code/Section 6/CH6_image_subsampling.ipynb

2.29KB

Code/Section 6/CH6_image_subsampling.py

1.24KB

Code/Section 6/CH6_Mnist_final.ipynb

86.2KB

Code/Section 6/CH6_Mnist_final.py

4.72KB

Code/Section 6/data/blue_jay.jpg

605.93KB

Code/Section 6/data/cifar-10-batches-bin/batches.meta.txt

61B

Code/Section 6/data/cifar-10-batches-bin/data_batch_1.bin

29.31MB

Code/Section 6/data/cifar-10-batches-bin/readme.html

88B

Code/Section 6/data/cifar-10-batches-bin/test_batch.bin

29.31MB

Code/Section 6/data/leopard.jpg

142.69KB

Code/Section 6/data/test.gif

95.11KB

Code/Section 6/data/test2.gif

102.17KB

Code/Section 7/Code/CH7_time_series.ipynb

150.13KB

Code/Section 7/Code/data/elec_load.csv

2.25MB

Code/Section 7/Code/model.py

55.67KB

Code/Section 7/Code/sample.py

43.44KB

Code/Section 7/Code/train.py

2.45KB

Code/Section 7/Code/utils.py

52.87KB

Code/Section 8/.ipynb_checkpoints/Cifar10-checkpoint.ipynb

2.76KB

Code/Section 8/.ipynb_checkpoints/VGG retraining-checkpoint.ipynb

72B

Code/Section 8/content.jpg

181.46KB

Code/Section 8/imagenet-vgg-verydeep-19.mat

549.36MB

Code/Section 8/neural_style.py

8.53KB

Code/Section 8/style.jpg

245.37KB

Code/Section 8/stylize.py

8.65KB

Code/Section 8/vgg.py

2.12KB

content.txt

3.95KB

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