Welcome to Kaggle's Introduction to Deep Learning course! You're about to learn all you need to get started  building your own deep neural networks. Using Keras and Tensorflow you'll learn how to:

• create a fully-connected neural network architecture
• apply neural nets to two classic ML problems: regression and classification
• train neural nets with stochastic gradient descent, and
• improve performance with dropout, batch normalization, and other techniques

The tutorials will introduce you to these topics with fully-worked examples, and then in the exercises, you'll explore these topics in more depth and apply them to real-world datasets.

To check the learning material in advance, check Kaggle's microcourse 👇 :

https://www.kaggle.com/learn/intro-to-deep-learning

Let's get started!

Prerequisites:

1. Have access to a Browser (preferably Google Chrome)

2. Sign up to Kaggle

3. Eager to Learn !!!

4.Have Completed the courses:

•  "Intro to Machine Learning" 
• "Intermediate Machine Learning"