This series takes engineers from zero to expert in machine learning in 5 sessions. The world needs more people who understand machine learning, and our goal is to get you started on that path as efficiently as possible. While there are plenty of online resources, we know it's tough to learn a technical topic without a teacher. This workshop will arm you with the tools to get started using machine learning in your day job, and the resources to find additional help if you want to go deeper.

This class is part five in our AI series. After an introduction to RNNs, LSTMs and GRUs in the previous session, we are ready to dive into the details and look at some advance applications of these networks. We will discuss the following frameworks, architectures and applications in this session.

Handwriting classification using attention models

Introduction to the transformer architecture

You can watch the previous sessions here:

1. Deep Learning Master Class I - Introduction

https://www.crowdcast.io/e/deep-learning-master

2. Deep Learning Master Class II - Computer Vision

https://www.crowdcast.io/e/deep-learning-master-2

3. Deep Learning Master Class III - Model Performance, Quantization, & Hyperparameter Search

https://www.crowdcast.io/e/dl-master-class-iii--

4. Deep Learning Master Class IV - Into to RNNs, LSTMs, and GRUs

https://www.crowdcast.io/e/deep-learning-master-3

Deep Learning Master Class V - Advance RNNs, LSTMs, and GRUs