TensorFlow

Build and train Deep Learning neural networks with TensorFlow 2.0

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

Use the serverless computing approach to save time and money

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

Use TensorFlow to build mobile apps and add features to make your apps smarter

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges.

Explore TensorFlow's capabilities to perform efficient deep learning on images

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

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

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

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

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Apply Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite

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

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