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  • Foundations of Deep Learning - Part 2

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

Validity Period: 365 days

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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

How to scale the data?

02

Define the loss function for
regression/classification

03

How to setup environment
in tensor flow?

04

Build a 1-year neural
network for classification?

05

How to perform forward
backward Propogation?

06

Compute feature imporatance
of variables in NN

07

How to build N-layer
neural networks?

Course Curriculum

5 Modules      |    31 Sessions     |    1 hour 8 min Total Time  

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Preliminaries

Sessions: 4 | Time: 12 min expand_more

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Setup Environment and Import Data (Code Demo)

Sessions: 4| Time: 6 min expand_more

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Logistic Regression as a 1-Layer Neural Network (Code Demo)

Sessions: 8| Time: 21 min expand_more

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2-Layer Neural Network (Code Demo)

Sessions: 9| Time: 14 min expand_more

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L-Layer Neural Network (Code Demo)

Sessions: 6| Time: 15 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