Applied Deep Learning with PyTorch
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Applied Deep Learning with PyTorch

  • Learn how to build deep learning models with PyTorch - One of the best DL frameworks in python.

Created by Selva Prabhakaran

  • 42 Video Lessons

  • English

  • English captions

What you will learn


Basics of


How to build helper functions for regression & classification?


Build 1-layer logistic regression models in Pytorch.


Build multi layer models in Pytorch.


What is regularisation in deep learning?


Various optimization algorithms in deep learning.


How to build end to end DL solutions?

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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