neuralnetworksanddeeplearning.com

• charset: utf-8
• name: citation_title content: Neural Networks and Deep Learning
• name: citation_author content: Nielsen, Michael A.
• name: citation_publication_date content: 2015
• name: citation_fulltext_html_url content: http://neuralnetworksanddeeplearning.com
• name: citation_publisher content: Determination Press
• name: citation_fulltext_world_readable content:

• Neural Networks and Deep Learning
• see here
• On the exercises and problems
• Chapter 1
• http://neuralnetworksanddeeplearning.com/chap1.html#perceptrons
• http://neuralnetworksanddeeplearning.com/chap1.html#sigmoid_neurons
• http://neuralnetworksanddeeplearning.com/chap1.html#the_architecture_of_neural_networks
• http://neuralnetworksanddeeplearning.com/chap1.html#a_simple_network_to_classify_handwritten_digits
• http://neuralnetworksanddeeplearning.com/chap1.html#learning_with_gradient_descent
• http://neuralnetworksanddeeplearning.com/chap1.html#implementing_our_network_to_classify_digits
• http://neuralnetworksanddeeplearning.com/chap1.html#toward_deep_learning
• How the backpropagation algorithm works
• http://neuralnetworksanddeeplearning.com/chap2.html#warm_up_a_fast_matrix-based_approach_to_computing_the_output_from_a_neural_network
• http://neuralnetworksanddeeplearning.com/chap2.html#the_two_assumptions_we_need_about_the_cost_function
• http://neuralnetworksanddeeplearning.com/chap2.html#the_hadamard_product_$s_\odot_t$
• http://neuralnetworksanddeeplearning.com/chap2.html#the_four_fundamental_equations_behind_backpropagation
• http://neuralnetworksanddeeplearning.com/chap2.html#proof_of_the_four_fundamental_equations_(optional)
• http://neuralnetworksanddeeplearning.com/chap2.html#the_backpropagation_algorithm
• http://neuralnetworksanddeeplearning.com/chap2.html#the_code_for_backpropagation
• http://neuralnetworksanddeeplearning.com/chap2.html#in_what_sense_is_backpropagation_a_fast_algorithm
• http://neuralnetworksanddeeplearning.com/chap2.html#backpropagation_the_big_picture
• Improving the way neural networks learn
• http://neuralnetworksanddeeplearning.com/chap3.html#the_cross-entropy_cost_function
• http://neuralnetworksanddeeplearning.com/chap3.html#overfitting_and_regularization
• http://neuralnetworksanddeeplearning.com/chap3.html#weight_initialization
• http://neuralnetworksanddeeplearning.com/chap3.html#handwriting_recognition_revisited_the_code
• http://neuralnetworksanddeeplearning.com/chap3.html#how_to_choose_a_neural_network's_hyper-parameters
• http://neuralnetworksanddeeplearning.com/chap3.html#other_techniques
• A visual proof that neural nets can compute any function
• http://neuralnetworksanddeeplearning.com/chap4.html#two_caveats
• http://neuralnetworksanddeeplearning.com/chap4.html#universality_with_one_input_and_one_output
• http://neuralnetworksanddeeplearning.com/chap4.html#many_input_variables
• http://neuralnetworksanddeeplearning.com/chap4.html#extension_beyond_sigmoid_neurons
• http://neuralnetworksanddeeplearning.com/chap4.html#fixing_up_the_step_functions
• http://neuralnetworksanddeeplearning.com/chap4.html#conclusion
• Why are deep neural networks hard to train?
• http://neuralnetworksanddeeplearning.com/chap5.html#the_vanishing_gradient_problem
• http://neuralnetworksanddeeplearning.com/chap5.html#what's_causing_the_vanishing_gradient_problem_unstable_gradients_in_deep_neural_nets
• http://neuralnetworksanddeeplearning.com/chap5.html#unstable_gradients_in_more_complex_networks
• http://neuralnetworksanddeeplearning.com/chap5.html#other_obstacles_to_deep_learning
• Deep learning
• http://neuralnetworksanddeeplearning.com/chap6.html#introducing_convolutional_networks
• http://neuralnetworksanddeeplearning.com/chap6.html#convolutional_neural_networks_in_practice
• http://neuralnetworksanddeeplearning.com/chap6.html#the_code_for_our_convolutional_networks
• http://neuralnetworksanddeeplearning.com/chap6.html#recent_progress_in_image_recognition
• http://neuralnetworksanddeeplearning.com/chap6.html#other_approaches_to_deep_neural_nets
• http://neuralnetworksanddeeplearning.com/chap6.html#on_the_future_of_neural_networks
• Appendix: Is there a
• Acknowledgements
• Book FAQ
• supporters
• Bugfinder Hall of Fame
• contact me

• https://lambdalabs.com/?utm_source=neuralnetworksdeeplearning&utm_medium=banner&utm_campaign=blogin&utm_content=rbannerimg
• Deep Learning Workstations, Servers, and Laptops
• http://gsquaredcapital.com/
• http://www.tineye.com
• http://www.visionsmarts.com
• Michael Nielsen on Twitter
• Code repository
• Michael Nielsen's project announcement mailing list
• Deep Learning
• cognitivemedium.com
• Michael Nielsen
• http://creativecommons.org/licenses/by-nc/3.0/deed.en_GB

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