O'Reilly Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Scalable and Distributed Machine Learning and Deep Learning Patterns (Advances in Computational Intelligence and Robotics)

AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch

O'Reilly

Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production (Synthesis Lectures on Computer Architecture)

Springer

Principles and Labs for Deep Learning

Academic Press

Deep Learning for Computer Architects (Synthesis Lectures on Computer Architecture)

Springer

Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features

Packt Publishing

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)

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Addison Wesley

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

Packt Publishing

Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions

Apress

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)

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Packt Publishing

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly

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

Apress

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

O'Reilly

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Math and Architectures of Deep Learning

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

Authorhouse

Springer Deep Learning: Concepts and Architectures 866 Book

Springer

Practical Deep Learning for Cloud, Mobile and Edge: Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow

O'Reilly

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)

Addison Wesley

Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications)

Springer

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

MIT Press