Transcription of Neural Networks and Deep Learning
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Neural Networks and Deep Learning
Neural Networks and Deep LearningMichael NielsenThe original online book can be found iContentsWhat this book is aboutiiiOn the exercises and problemsv1 Using Neural nets to recognize handwritten Perceptrons .. Sigmoid neurons .. The architecture of Neural Networks .. A simple network to classify handwritten digits .. Learning with gradient descent .. Implementing our network to classify digits .. Toward deep Learning .. 352 How the backpropagation algorithm up: a fast matrix-based approach to computing the output from a neuralnetwork .. The two assumptions we need about the cost function .. The Hadamard product,s t.. The four fundamental equations behind backpropagation .. Proof of the four fundamental equations (optional).
iv What this book is about A hands-on approach We’ll learn the core principles behind neural networks and deep learning by attacking a concrete problem: the problem of teaching a computer to recognize handwritten digits.
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