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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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This is the official code repository for the book.

Get started with machine learning using TensorFlow, Google's latest and greatest machine learning library.

Ch 2 - TensorFlow Basics

  • Listing 2-4: types.py
  • Listing 5-6: main.py
  • Listing 7: interactive_session.py
  • Listing 8: logging.py
  • Listing 9: spikes.py
  • Listing 10: saving_vars.py
  • Listing 11: loading_vars.py
  • Listing 12-15: moving_avg.py

Ch 3 - Regression

  • Listing 1-2: simple_model.py
  • Listing 3: polynomial_model.py
  • Listing 4-5: regularization.py
  • Listing 6: data_reader.py

Ch 4 - Classification

  • Listing 1-3: linear_1d.py
  • Listing 4: logistic_1d.py
  • Listing 5: logistic_2d.py
  • Listing 6-10: softmax.py

Ch 5 - Clustering

  • Listing 1-4: audio_clustering.py
  • Listing 5-6: audio_segmentation.py
  • Listing 7-12: som.py

Ch 6 - Prediction

  • Listing 1-10: rl.py

Ch 7 - Anomaly Detection

  • Listing 1-6: forward.py
  • Listing 7-11: hmm.py

Ch 8 - Autoencoders

(Coming September 2016)

Ch 9 - Convolutional Neural Networks

(Coming September 2016)

Ch 10 - Recurrent Neural Network

(Coming September 2016)

Ch 11 - Advanced Deep Architectures

(Coming September 2016)

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