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Foundations of Deep Learning - Part 2

  • Learn how to build logistic regression models using deep learning.
    All the way from building it with 1 layer neural network to N layer neural network.

Created by Selva Prabhakaran

  • 18 Video Lessons

  • English

  • English captions

What you will learn


How to Scale the Data?


Define the loss function for regression/classification.


How to setup environment in tensor flow?


Build a 1-layer neural network for classification ?


How to perform forward backward propogation ?


Compute feature importance of variables in NN.


How to build N-layer neural networks?

Course Curriculum


  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers


Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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