Build, train, and deploy intelligent applications using Java libraries
Build neural network models in text, vision and advanced analytics using PyTorch
A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples
5 real-world projects to help you master deep learning concepts
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Explore and master the most important algorithms for solving complex machine learning problems.
Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner
You need much more than imagination to predict earthquakes and detect brain cancer cells. Become an expert in designing and deploying TensorFlow and Keras models, and generate insightful predictions with the power of deep learning.
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.
Neural Networks and their implementation decoded with TensorFlow
Skip the theory and get the most out of Tensorflow to build production-ready machine learning models
Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python
