course-deep-learning-advanced

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
ch01-overview		ch01-overview
ch02-rosenblatt_perceptron		ch02-rosenblatt_perceptron
ch03-minimum_mean_method		ch03-minimum_mean_method
ch04-back_propagation_algorithm		ch04-back_propagation_algorithm
ch05-output_layer_and_loss_functions		ch05-output_layer_and_loss_functions
ch06-autoencoder		ch06-autoencoder
ch07-convolutional_neural_network_1		ch07-convolutional_neural_network_1
ch08-convolutional_neural_network_2		ch08-convolutional_neural_network_2
ch09-convolutional_neural_network_3		ch09-convolutional_neural_network_3
ch10-regularization_for_deep_learning		ch10-regularization_for_deep_learning
ch11-optimization_for_training_deep_models		ch11-optimization_for_training_deep_models
ch12-classical_model_1		ch12-classical_model_1
ch13-classical_model_2		ch13-classical_model_2
ch14-object_detection		ch14-object_detection
ch15-recurrent_neural_network		ch15-recurrent_neural_network
docs		docs
images		images
README.md		README.md

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