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

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

Basics of Pytorch

02

How to build helper functions
for regresion and
classification

03

Build 1 layer logistic regression
models in Pytorch

04

Build multiple layer models
in Pytorch

05

What is Regularisation in
deep learning?

06

Various Optimization Algorithms
in deep learning

07

How to Build end to end
DL Solutions?

Course Curriculum

9 Modules      |    44 Sessions     |    1 hour 39 min Total Time  

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Introduction to PyTorch

Sessions: 7 | Time: 18 min expand_more

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Setup and Helper Functions for PyTorch (Code Demo)

Sessions: 5| Time: 5 min expand_more

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Logistic Regression in PyTorch (Code Demo)

Sessions: 6| Time: 12 min expand_more

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2-Layer Neural Network for Classification in PyTorch (Code Demo)

Sessions: 3| Time: 5 min expand_more

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5-Layer Neural Network for Regression (Week 1 Assignment) in PyTorch (Code Demo)

Sessions: 5| Time: 8 min expand_more

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Regularization

Sessions: 6| Time: 21 min expand_more

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Regularization in PyTorch (Code Demo)

Sessions: 5| Time: 20 min expand_more

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Optimization

Sessions: 6| Time: 8 min expand_more

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Optimization in PyTorch (Code Demo)

Sessions: 1| Time: 2 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • Executives who have to lead or interact with Data Scientists

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!
  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts