Building Machine Learning Systems with TensorFlow [Video]

File Name

Size

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

12 MB

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

20 MB

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

14 MB

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

30 MB

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

19 MB

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

16 MB

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

4.8 MB

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

6.6 MB

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

15 MB

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

16 MB

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

8.4 MB

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

9.4 MB

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

6.0 MB

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

19 MB

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

19 MB

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

7.3 MB

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

10 MB

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

25 MB

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

10 MB

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

14 MB

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

11 MB

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

14 MB

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

11 MB

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

7.1 MB

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

15 MB

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

9.0 MB

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

5.8 MB

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

2.7 MB

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

14 MB

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

10 MB

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

7.0 MB

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

7.8 MB

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

4.3 MB

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

11 MB

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

30 MB

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

5.1 MB

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

9.0 MB

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

2.2 MB

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

4.0 MB

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

12 MB

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

9.8 MB

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

10 MB

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

2.8 MB

Code/Section 1/csv_1.0.py

741 B

Code/Section 1/iris.csv

3.7 kB

Code/Section 1/Section1.ipynb

2.8 MB

Code/Section 2/Section2.ipynb

707 kB

Code/Section 3/Section3.ipynb

108 kB

Code/Section 3/utils.py

2.3 kB

Code/Section 4/CH4_Univariate_logistic_regression.ipynb

56 kB

Code/Section 4/CH4_Univariate_logistic_regression.py

3.9 kB

Code/Section 4/data/CHD.csv

609 B

Code/Section 4/Univariate_logistic_regression_keras.ipynb

14 kB

Code/Section 4/Univariate_logistic_regression_keras.py

1.0 kB

Code/Section 5/CH5_linear_regression_nn.ipynb

20 kB

Code/Section 5/CH5_linear_regression_nn.py

2.0 kB

Code/Section 5/CH5_Nonlinear.ipynb

102 kB

Code/Section 5/CH5_Nonlinear.py

1.7 kB

Code/Section 5/Ch5_third_example.ipynb

28 kB

Code/Section 5/Ch5_third_example.py

1.9 kB

Code/Section 5/data/mpg.csv

17 kB

Code/Section 5/data/wine.csv

11 kB

Code/Section 6/CH6_CIFAR.ipynb

16 kB

Code/Section 6/CH6_convolution.ipynb

2.5 kB

Code/Section 6/CH6_convolution.py

1.4 kB

Code/Section 6/CH6_image_subsampling.ipynb

2.3 kB

Code/Section 6/CH6_image_subsampling.py

1.2 kB

Code/Section 6/CH6_Mnist_final.ipynb

86 kB

Code/Section 6/CH6_Mnist_final.py

4.7 kB

Code/Section 6/data/blue_jay.jpg

606 kB

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

61 B

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

29 MB

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

88 B

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

29 MB

Code/Section 6/data/leopard.jpg

143 kB

Code/Section 6/data/test.gif

95 kB

Code/Section 6/data/test2.gif

102 kB

Code/Section 7/Code/CH7_time_series.ipynb

150 kB

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

2.3 MB

Code/Section 7/Code/model.py

56 kB

Code/Section 7/Code/sample.py

43 kB

Code/Section 7/Code/train.py

2.5 kB

Code/Section 7/Code/utils.py

53 kB

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

2.8 kB

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

72 B

Code/Section 8/content.jpg

182 kB

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

549 MB

Code/Section 8/neural_style.py

8.5 kB

Code/Section 8/style.jpg

245 kB

Code/Section 8/stylize.py

8.7 kB

Code/Section 8/vgg.py

2.1 kB

content.txt

4.0 kB