Applied Deep Learning with PyTorch

Created by Selva Prabhakaran

42 Video Lessons
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Learning duration ~ 2-3 weeks
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What you will learn

Basics of
Pytorch.

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

Requirements

Basics of Python
Foundational knowledge of Data Science
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

Instructor

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!

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200+ reviews
10K+students
15+ Courses

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