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Tensorflow 2 reinforcement learning cookbook : over 50 recipes to help you build, train, and deploy learning agents for real-world applications

The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch

Hands-On Artificial Intelligence for Beginners : An introduction to AI concepts, algorithms, and their implementation

Hands-on neural networks : learn how to build and train your first neural network model using Python

Self-organising maps : applications in GI science

Java deep learning cookbook : over 70 recipes for training fast and highly accurate neural network models using Deeplearning4j

Hands-On Markov Models with Python : Implement probabilistic models for learning complex data sequences using the Python ecosystem

Network models for control and processing

Adaptive neural networks and robots intelligent control in direct or indirect interaction with humans

Immersion Into Noise (second edition)

Artificial Neural Networks and Machine Learning -- ICANN 2014 : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings

Machine Learning With Go

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition

Information Theoretic Neural Computation

Fuzzy Systems To Quantum Mechanics

Granular Video Computing: With Rough Sets, Deep Learning And In Iot

Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations

Applied Neural Networks and Soft Computing

Tree-Based Convolutional Neural Networks : Principles and Applications

Soft Computing with NeuroFuzzy Systems

Aws : The Ultimate Cheat Sheet Practice Exam Questions (Prepare for and Pass the Current Aws Machine Learning Specialty Exam)

Biological and Artificial Intelligence Environments

Artificial Neural Networks: Advanced Principles

Minds and machines : connectionism and psychological modeling

Handbook on sensor networks

Spatially Explicit Hyperparameter Optimization for Neural Networks

Spatially Explicit Hyperparameter Optimization for Neural Networks

Fun Q : A Functional Introduction to Machine Learning in Q

Machine Learning Interviews

Connectionism and the Mind : Parallel Processing, Dynamics, and Evolution in Networks

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