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Hands-On Neural Networks with Keras. Design and create neural networks using deep learning and artificial intelligence principles

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

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

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

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Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes

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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras

Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI

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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance

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Inteligentna sieć. Algorytmy przyszłości. Wydanie II

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Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

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Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

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Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition

Serg Masís, Aleksander Molak, Denis Rothman

Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

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Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking

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Inżynieria danych na platformie AWS. Jak tworzyć kompletne potoki uczenia maszynowego

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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

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Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

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Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python

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