Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch

Vishnu Subramanian

Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python

Kunal Sawarkar

Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python

David Julian

Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x

Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar

Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado

Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition

Antonio Gulli, Amita Kapoor, Sujit Pal

Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition

Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet

Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition

Giancarlo Zaccone, Md. Rezaul Karim

Deep Learning with TensorFlow. Explore neural networks with Python

Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy

Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently

Christopher Bourez

Deep learning z TensorFlow 2 i Keras dla zaawansowanych. Sieci GAN i VAE, deep RL, uczenie nienadzorowane, wykrywanie i segmentacja obiektów i nie tylko. Wydanie II

Rowel Atienza

Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development

Reinier van Altena

Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance

Fanny Ip, Jeremiah Crowley, Tom Torlone

De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning

Seaport AI

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT

Emília M. Ludovino

Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale

Emmanuel Raj

Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python

Dipayan Sarkar, Vijayalakshmi Natarajan

Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities

Leonard S. Woody III

Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI

Steve Tingiris, Bret Kinsella

Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Josh Kalin

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Generatywne głębokie uczenie, wyd. II. Uczenie maszyn, jak malować, pisać, komponować i grać

David Foster