dlbook/_toc.yml at main · pythonandml/dlbook · GitHub

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# Table of contents
# Learn more at https://jupyterbook.org/customize/toc.html

format: jb-book
root: content/intro
parts:
  - caption: 1. Preliminaries
    chapters:
    - file: content/preliminaries/data_preprocessing
    - file: content/preliminaries/performance_metrics
  - caption: 2. Multilayer Perceptrons
    chapters:
    - file: content/multilayer_perceptrons/activation
    - file: content/multilayer_perceptrons/perceptron
    - file: content/multilayer_perceptrons/terminologies_part_1
    - file: content/multilayer_perceptrons/cost_functions
    - file: content/multilayer_perceptrons/forward_propagation
    - file: content/multilayer_perceptrons/backpropagation
    - file: content/multilayer_perceptrons/terminologies_part_2
    - file: content/multilayer_perceptrons/gradient_descent
    - file: content/multilayer_perceptrons/regularization
    - file: content/multilayer_perceptrons/dropout
    - file: content/multilayer_perceptrons/batch_normalization
    - file: content/multilayer_perceptrons/numerical_example_forward_backward_propagation
    - file: content/multilayer_perceptrons/shortcut_to_calculate_forward_back_propagation
    - file: content/multilayer_perceptrons/neural_networks_mlp_scratch_best
    - file: content/multilayer_perceptrons/mlp_pytorch
    - file: content/multilayer_perceptrons/mlp_keras
  - caption: 3. Convolutional Neural Networks
    chapters:
    - file: content/convolutional_neural_networks/cnn_over_mlp
    - file: content/convolutional_neural_networks/cnn_architecture
      sections:
      - file: content/convolutional_neural_networks/convolutional_layers
      - file: content/convolutional_neural_networks/forward_propagation_convolution
      - file: content/convolutional_neural_networks/backpropagation_convolution
      - file: content/convolutional_neural_networks/pooling_layers
    - file: content/convolutional_neural_networks/cnn_from_scratch
    - file: content/convolutional_neural_networks/cnn_pytorch
    - file: content/convolutional_neural_networks/cnn_keras
    - file: content/convolutional_neural_networks/cnn_state_of_the_art
  - caption: 4. Word Embeddings
    chapters:
    - file: content/word_embeddings/traditional_word_embeddings
    - file: content/word_embeddings/static_word_embeddings
      sections:
      - file: content/word_embeddings/word2vec
      - file: content/word_embeddings/glove
      - file: content/word_embeddings/fasttext
    - file: content/word_embeddings/contextual_word_embeddings
      sections:
      - file: content/word_embeddings/elmo