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  • Foundations of Deep Learning

Foundations of Deep Learning

  • Understand what is Deep Learning and Why is it so popular.
  • Get familiar with Foundations of Deep Learning.


Created by Selva Prabhakaran

  • 18 Video Lessons

  • English

  • English captions

Validity Period: 365 days

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  •  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

What is Deep Learning?

02

Why is Deep learning so
Popukar and Efficient?

03

Overview of Deep Learning
frameworks

04

What are preceptrons?

05

Various types of activation
functions

06

What are Optimisers in
Deep Learning

07

How backPropogations
works?

Course Curriculum

5 Modules      |    20 Sessions     |    1 hour 7 min Total Time  

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Introduction to Deep Learning

Sessions: 6 | Time: 16 min expand_more

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Building Blocks: Perceptron

Sessions: 3| Time: 6 min expand_more

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Building Blocks: Activation Functions

Sessions: 5| Time: 9 min expand_more

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Building Blocks: Optimization

Sessions: 4| Time: 24 min expand_more

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Building Blocks: Backpropagation

Sessions: 2| Time: 12 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

Get Subscription

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