Demystifying the Neural Network Components

This webinar will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning! This webinar aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand.

We'll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0's official API) to quickly and easily build models. In this webinar we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!

This webinar is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!

This webinar covers a variety of topics, including

NumPy Crash course

Pandas Data Analysis Crash webinar

Data Visualization Crash webinar

Neural Network Basics

TensorFlow Basics

Keras Syntax Basics

Artificial Neural Networks

Densely Connected Networks

Convolutional Neural Networks

Recurrent Neural Networks

AutoEncoders

GANs - Generative Adversarial Networks

Deploying TensorFlow into Production

TensorFlow 2 makes it easy to take new ideas from concept to code, and from model to publication. TensorFlow 2.0 incorporates a number of features that enables the definition and training of state of the art models without sacrificing speed or performance

It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of webinar, Google!