Deep Learning For Absolute Beginners

Description

We all have this impression that to do deep learning we need to have a Phd or a degree in Machine learning. Well! this is not true. All you need is an interest to try out new things and step into a new territory of learning. You also don't need fancy hardware to start with as all that you need is already available on the cloud and many timea these are free of cost.

In this course you will learn how to create neural networks with few lines of code and how can we use transfer learning to use less data than usual. The idea here is to learn with a top down approach i.e.  build something and hack into it to learn what goes on under the hood. This way learning becomes interesting and fruitful.

This course is perfect for you if you are someone who wants to step into the fabulous world of deep learning. This course aims to be jargon free and simplistic in approach so that learning doesn't feel overwhelming.

This course has step by step instructions alongwith all the relevant code baked into each part of the course. Loads of examples with interesting usecase is what you can find here.

What You Will Learn!

• Create computer vision system using Deep Learning.
• Build you own dataset from scratch.
• Use algorithms like CNN and transfer learning techniques to quickly create deep learning system with less data.
• Code first approach towards Deep Learning.

Who Should Attend!

• Beginners interested in Deep Learning.
• Experienced coders interested in Deep Learning.
• Non coders who are curious to learn Deep Learning.
• Other curious minds.

TAKE THIS COURSE