Deep Learning / techniques

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Code repository for Python Deep Learning Second Edition, published by Packt

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nlp_overview 🌿
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Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

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Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

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ASCAD 🌿
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Side Channels Analysis and Deep Learning

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Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.

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Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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Python Deep Learning Second Edition, Published by Packt

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Advanced Deep Learning with Keras, published by Packt

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Implementations of (Deep Learning + Machine Learning) Algorithms

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Code and other material for the book "Deep Learning and the Game of Go"

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