You''ll start with an introduction to AI, where you''ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learningDiscovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you''ll jump into simple classification programs for hand-writing analysis. Once you''ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically.

Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you''ll get into the heavy lifting of programming neural networks  and working with a wide variety of neural network types such as GANs and RNNs.  

Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving carsWork through the hands-on material in this book and become a TensorFlow programmer!