Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Hands-On MQTT Programming with Python. Work with the lightweight IoT protocol in Python

Gaston C. Hillar

Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition

Alexandre DuBreuil

Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications

Rajesh Arumugam, Rajalingappaa Shanmugamani, Auguste Byiringiro, Chaitanya Joshi, ...

Hands-On Natural Language Processing with PyTorch 1.x. Build smart, AI-driven linguistic applications using deep learning and NLP techniques

Thomas Dop

Hands-On Neural Networks. Learn how to build and train your first neural network model using Python

Leonardo De Marchi, Laura Mitchell

Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks

Paolo Galeone

Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Iaroslav Omelianenko

Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Shruti Jadon, Ankush Garg

Hands-On Penetration Testing with Python. Enhance your ethical hacking skills to build automated and intelligent systems

Furqan Khan

Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment

Alvaro Fuentes

Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

Anubhav Singh, Sayak Paul

Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

Aman Kedia, Mayank Rasu

Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Nazia Habib

Hands-On Reactive Programming with Python. Event-driven development unraveled with RxPY

Romain Picard

Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques

Micheal Lanham