Fundamentals of deep learning : designing next-generation machine intelligence algorithms
xii, 283 pages : 24 cm Includes bibliographical references and index The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning
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