Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)
Explore the foundations of deep learning and machine learning system development with PyTorch and TensorFlow. This guide surveys major neural network architectures—including CNN, DNN, GNN, RNN, ANN, LSTM, and GAN models—and introduces natural language processing for a broad, accessible view of the field.
About This Book
Understanding Deep Learning introduces the foundations of building machine learning systems with PyTorch and TensorFlow.
The book covers a range of neural network architectures, including CNN, DNN, GNN, RNN, ANN, LSTM, and GAN models.
It also addresses natural language processing, providing broad coverage of modern deep learning topics.
Written by the Transformatech Institute, this guide is suited to readers seeking an overview of deep learning development and applications.
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