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010_underfitting_overfitting_complete.ipynb		010_underfitting_overfitting_complete.ipynb
010_underfitting_overfitting_courageous.ipynb		010_underfitting_overfitting_courageous.ipynb
010_underfitting_overfitting_lazy.ipynb		010_underfitting_overfitting_lazy.ipynb
020_mnist_data_exploration_complete.ipynb		020_mnist_data_exploration_complete.ipynb
020_mnist_data_exploration_courageous.ipynb		020_mnist_data_exploration_courageous.ipynb
020_mnist_data_exploration_lazy.ipynb		020_mnist_data_exploration_lazy.ipynb
030_activation_function_complete.ipynb		030_activation_function_complete.ipynb
030_activation_functions_lazy.ipynb		030_activation_functions_lazy.ipynb
040_mnist_mlp_complete.ipynb		040_mnist_mlp_complete.ipynb
040_mnist_mlp_courageous.ipynb		040_mnist_mlp_courageous.ipynb
040_mnist_mlp_lazy.ipynb		040_mnist_mlp_lazy.ipynb
050_convolution_complete.ipynb		050_convolution_complete.ipynb
050_convolution_lazy.ipynb		050_convolution_lazy.ipynb
060_mnist_cnn_complete.ipynb		060_mnist_cnn_complete.ipynb
060_mnist_cnn_courageous.ipynb		060_mnist_cnn_courageous.ipynb
060_mnist_cnn_lazy.ipynb		060_mnist_cnn_lazy.ipynb
070_imdb_data_exploration_complete.ipynb		070_imdb_data_exploration_complete.ipynb
070_imdb_data_exploration_lazy.ipynb		070_imdb_data_exploration_lazy.ipynb
080_imdb_rnn_complete.ipynb		080_imdb_rnn_complete.ipynb
080_imdb_rnn_courageous.ipynb		080_imdb_rnn_courageous.ipynb
080_imdb_rnn_lazy.ipynb		080_imdb_rnn_lazy.ipynb
README.md		README.md

README.md

Notebooks

All notebooks come in at least two versions:

For some notebooks, there is a courageous version as well, which means that you will have to write some of the code yourself.

010_underfitting_overfitting: illustrates the concepts of underfitting and and overfitting using non-linear regression.
020_mnist_data_exploration_complete: exploring the MNIST data set (complete notebook with output). 1 030_activation_function: visualization of the relevant activation functions.
040_mnist_mlp: illustrates data pipelines and construction of a classic multilayer perceptron to recognize handwritten digits.
050_convolution: illustrates convolution as used in convolutional neural networks.
060_mnist_cnn: illustrates a convolutional neural network to recognize handwritten digits.
070_imdb_data_exploration: exploring the IMDB data set.
080_imdb_rnn: illustrates recurrent neural networks using GRU and LSTM units for sentiment classification on the IMDB data set.