Interested in the field of Deep learning? Then this course is for you!

This course has been designed to share my knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

I will walk you step by step into the world of artificial neural networks.

This course is fun and exciting, but at the same time, we dive deep into the artificial neural network. It is structured the following way:

• Section 1: Introduction.

• Section 2: Fundamental Neural Network

• Section 3: Modelling neural networks

• Section 4: Classifying Handwritten digits

   

There are lots of tools that we will cover in this course. These tools include TensorFlow, back-propagation, feed-forward network, and so on. A lot of other online courses did not cover back-propagation and this is a huge MISTAKE as back-propagation is an important topic. This course will not only cover back-propagation in theory but also implement it in the project. So you will have a deep understanding of back-propagation. You can empress your potential employer by showing the project with back-propagation.

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are three big projects and some small projects to practice what you have learned throughout the course. These projects are listed below:

• Handwritten Digit.

• Birth weights

• MNIST