Apress Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Principles and Labs for Deep Learning

Academic Press

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)

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)

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Authorhouse

Mathematics of Deep Learning: An Introduction (De Gruyter Textbook)

De Gruyter

Deep Learning in Practice

CRC Press

Introduction to Deep Learning for Healthcare

Springer

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

Apress

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Springer

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Springer

A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)

Wiley

Deep Learning with R

Springer

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Packt Publishing

Fundamentals of Machine Learning and Deep Learning in Medicine

Springer

Fundamental Mathematical Concepts for Machine Learning in Science

Springer

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly

Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)

MIT Press

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

Apress