Deep Learning with Keras: Implementing deep

Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python...

Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python (English Edition)...

Keras Deep Learning Cookbook: Over 30 recipes for implementing deep neural networks in Python (English Edition)...

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles: Build smart systems by implementing popular deep learning models in R...

Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition (English Edition)...

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more [Lingua inglese]...

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more (English Edition)...

DEEP LEARNING Introducción práctica con Keras (SEGUNDA PARTE)...

DEEP LEARNING Introducción práctica con Keras...

Neural Networks with Keras Cookbook: Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots (English Edition)...

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R...

Deep Learning mit Python und Keras: Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek (German Edition)...

Deep Learning mit Python und Keras: Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek (mitp Professional)...

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow (English Edition)...

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

Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras...

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R (English Edition)...

Deep Learning mit TensorFlow, Keras und TensorFlow.js: Einstieg, Konzepte und KI-Projekte mit Python, JavaScript und HTML5...

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras (English Edition)...

Implementing Models of Financial Derivatives: Object Oriented Applications With VBA: Object Oriented Applications with VBA with CD-ROM...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras (English Edition)...

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch (English Edition)...

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

Implementing Project-Based Learning...

Learning Bayesian Models with R (English Edition)...

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles (English Edition)...

Deep Learning With R...

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python...

Learning Continuous Integration with Jenkins: A beginner's guide to implementing Continuous Integration and Continuous Delivery using Jenkins 2, 2nd Edition (English Edition)...

Learning Continuous Integration with Jenkins: A beginner's guide to implementing Continuous Integration and Continuous Delivery using Jenkins...

Learning Continuous Integration with Jenkins: A beginner's guide to implementing Continuous Integration and Continuous Delivery using Jenkins 2, 2nd Edition...

Learning Continuous Integration with Jenkins: A beginner's guide to implementing Continuous Integration and Continuous Delivery using Jenkins (English Edition)...

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Hands on Machine Learning with Scikit Learn Keras and TensorFlow: Concepts Tools and Techniques to Build Intelligent Systems Books Subjects Computing Internet Computer Science AI Machine Learning...

Implementing Project-Based Learning (Solutions) (English Edition)...

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence (English Edition)...

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence...

Deep Learning with TensorFlow: Explore neural networks with Python...

Deep Learning...

Machine Learning with R Cookbook - Second Edition: Analyze data and build predictive models...