DAY2:

INTRODUCTION TO NEURAL NETWORKS

– Here we learn the basic building blocks of AI – which is mainly Machine and Deep Learning.
– Then you will learn about two most popular forms of Machine Learning – namely Computer Vision and NLP (Natural Language Processing).

– Successful ML architectures such as Tensorflow and Pytorch will be discussed as well as best practices for training Machine Learning Models.

HANDS-ON TRAINING SESSION

– You will start with basic hands-on training to understand how Machine Learning works in real-world.
– You will cover topics in Computer Vision and NLP to both classify and generate text.

– You will learn about best practices for deploying machine learning models in production.
– Take away: Live demo of a fully functioning Machine Learning Cancer Classifier App. You can build one yourself!