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Master the techniques to design and develop neural network models in R

Create deep neural networks to solve computational problems using TensorFlow and Keras

Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

The easiest way to get into machine learning

Implement machine learning algorithms and techniques to build intelligent systems

Develop machine learning and deep learning models with Python

Unlock machine learning best practices with real-world use cases

Develop machine learning and deep learning models with Python

Develop machine learning and deep learning models with Python

Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Create deep neural networks to solve computational problems using TensorFlow and Keras

Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

The easiest way to get into machine learning