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All the code presented in my book "Introduction to Deep Learning" plus solutions to the exercises.
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code_examples_in_book
exercise01_python2_vs_python3
exercise02_python_syntax
exercise03_understanding_convolutions
exercise04_numpy
exercise05_perceptron_learning_rule
exercise06_self_organizing_map
exercise07_mlp_feedforward_step_only
exercise09_mlp_in_tensorflow
exercise10_cnn_in_tensorflow_and_experiments
exercise11_word_recognition_with_a_cnn
exercise12_vanishing_gradients
exercise13_mlp_with_batch_normalization
exercise14_googles_object_detection_api
new_stuff/01_autodiff
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