Code repository for Python Deep Learning Second Edition, published by Packt
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Side Channels Analysis and Deep Learning
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.
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.
Python Deep Learning Second Edition, Published by Packt
Advanced Deep Learning with Keras, published by Packt
Implementations of (Deep Learning + Machine Learning) Algorithms