TensorFlow

Learn how to solve real life problems using different methods like logic regression, random forests and SVM�s with TensorFlow.

Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks

Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the help of this comprehensive cookbook

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x

Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow

Accomplish the power of data in your business by building advanced predictive modelling applications with Tensorflow.

Neural Networks and their implementation decoded with TensorFlow

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Build, scale, and deploy deep neural network models using the star libraries in Python

Learn advanced techniques to improve the performance and quality of your predictive models

Tackle common commercial machine learning problems with Google’s TensorFlow 1.x library and build deployable solutions.