Foundations of Deep Learning - Part 2

Created by Selva Prabhakaran

18 Video Lessons
English
English captions

Validity Period: 365 days

$29

Limited Time Offer !

Already Subscribed? Click here to access your courses

Course Certificate
Codes
Practice Data
Clean English Captions
Expert Query Support
Programming Notebooks
Self-paced online videos
15-Day Moneyback Guarantee
Learning duration ~ 2-3 weeks
Complete access for 1 year

What you will learn

How to Scale the Data?

Define the loss function for regression/classification.

How to setup environment in tensor flow?

Build a 1-layer neural network for classification ?

How to perform forward backward propogation ?

Compute feature importance of variables in NN.

How to build N-layer neural networks?

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!

4.5+Instructor rating
200+ reviews
10K+students
15+ Courses

Sign Up Complete your profile

Log In

You may also be interested in