Tensorflow is Google’s library for deep learning and artificial intelligence.

Deep Learning has been responsible for some amazing achievements recently, such as:

• Generating beautiful, photo-realistic images of people and things that never existed (GANs)
• Beating world champions in the strategy game Go and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
• Self-driving cars (Computer Vision)
• Speech recognition (e.g., Siri) and machine translation (Natural Language Processing)
• Even creating videos of people doing and saying things they never did (DeepFakes – a potentially nefarious application of deep learning)

Tensorflow is the world’s most popular library for deep learning, and Google builds it.  It is the library of choice for many companies doing AI and machine learning.  If you want to do deep learning, you must know Tensorflow.

In this course, you will learn about all of the major deep learning architectures, such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks (sequence data), including:

• Natural Language Processing (NLP)
• Recommender Systems
• Transfer Learning for Computer Vision
• Generative Adversarial Networks (GANs)
• Deep Reinforcement Learning Stock Trading Bot
• Deploying a model with Tensorflow Serving (Tensorflow in the cloud)
• Deploying a model with Tensorflow Lite (mobile and embedded applications)
• Distributed Tensorflow training with Distribution Strategies
• Writing custom Tensorflow model
• Converting Tensorflow 1.x code to Tensorflow 2.0
• Constants, Variables, and Tensors
• Eager execution
• Gradient tape