Loss Functions of Regression
1 min
Loss Functions of Classification
4 min
Overall Flow of Model Training
3 min
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
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
Define the loss function for
regression/classification
03
How to setup environment
How to setup environment
in tensor flow?
04
Build a 1-year neural
Build a 1-year neural
network for classification?
05
How to perform forward
How to perform forward
backward Propogation?
06
Compute feature imporatance
Compute feature imporatance
of variables in NN
07
How to build N-layer
How to build N-layer
neural networks?
Course Curriculum
5 Modules | 31 Sessions | 1 hour 8 min Total Time
Preliminaries
Sessions: 4 | Time: 12 min
Setup Environment and Import Data (Code Demo)
Sessions: 4| Time: 6 min
Logistic Regression as a 1-Layer Neural Network (Code Demo)
Sessions: 8| Time: 21 min
2-Layer Neural Network (Code Demo)
Sessions: 9| Time: 14 min
L-Layer Neural Network (Code Demo)
Sessions: 6| Time: 15 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- 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