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DT-101: From Scratch to PyTorch (Foundations)
Demystify the "black box" of neural networks by building the foundational math in pure code before using a framework.
0
Students
5
Lectures
Yatish Parashar
Master
About This Course
Demystify the "black box" of neural networks by building the foundational math in pure code before using a framework.
Yatish Parashar
1
Courses
1
Students
Curriculum Overview
This course includes 5 modules, 5 lessons, and 0 hours of materials.
The Math of Intelligence
1 Parts
Module 1
Volume
-
The Forward Pass
1 Parts
Module 2
Volume
10.05 MB
Calculus in Code
1 Parts
Module 3
Volume
9.09 MB
The Optimization Loop
1 Parts
Module 4
Volume
13.11 MB
The PyTorch Translation
1 Parts
Module 5
Volume
10.55 MB
Certificates
1 Parts
Course Certificate
Course Certificate
If you pass all the lessons in this course, you will receive this certificate.
Type
Course Certificate
0
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This Course Includes
Official Certificate
Instructor Support
Course Forum
Chat Room
Course Specifications
Sections
5
Lessons
5
Capacity
50 Students
Duration
0:45 Hours
Students
0
Created Date
3 Apr 2026
Updated Date
13 Sep 2026
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I will not be available for 2 weeks until end of January due to a business trip.
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DT-101: From Scratch to PyTorch (Foundations)
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