Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease
Build, train, and deploy intelligent applications using Java libraries
Develop real-world applications powered by the latest advances in intelligent systems
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
Insightful projects to master deep learning and neural network architectures using Python and Keras
Explore and master the most important algorithms for solving complex machine learning problems.
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.
Explore TensorFlow's capabilities to perform efficient deep learning on images
A highly detailed guide to performing powerful attack vectors in many hands-on scenarios and defending significant security flaws in your company's infrastructure
Skip the theory and get the most out of Tensorflow to build production-ready machine learning models