Introduction to Pytorch

Introduction to Pytorch, available at Free, has an average rating of 3.85, with 6 lectures, 1 quizzes, based on 47 reviews, and has 2180 subscribers.

You will learn about Pytorch Computer Vision Torch Tensors Torch AutoGrad Torch computation Graph Torch Train pipeline This course is ideal for individuals who are Developer who are interested in building AI/Deep Learning products or Architects who are interested in building AI//Deep Learning products It is particularly useful for Developer who are interested in building AI/Deep Learning products or Architects who are interested in building AI//Deep Learning products.

Enroll now: Introduction to Pytorch

Summary

Title: Introduction to Pytorch

Price: Free

Average Rating: 3.85

Number of Lectures: 6

Number of Quizzes: 1

Number of Published Lectures: 6

Number of Published Quizzes: 1

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Pytorch

Computer Vision

Torch Tensors

Torch AutoGrad

Torch computation Graph

Torch Train pipeline

Who Should Attend

Developer who are interested in building AI/Deep Learning products

Architects who are interested in building AI//Deep Learning products

Target Audiences

Developer who are interested in building AI/Deep Learning products

Architects who are interested in building AI//Deep Learning products

Published in  2021: Alpha Release

Dedicated to my Late Father KPS

This course is a free course and will remain free always.

Welcome to theIntroduction to pytorch this course is a prerequisite to our other courseFocused on Vision (Deep Learning Computer vision : unsupervised or deep unsupervised visual representation learning)

To learn Deep Learning with Pytorch step-by-step, you have come to the right place!

===============================

Deep Learning is Easy to learn, if you know basic Math and can code..

Thanks to my several years of experience in Deep Learning, I wanted to make Deep Learning For Vision to everyone.

We’ll take a step-by-step approach to learn all the fundamentals of Pytorch in this course.

At the end of this course, you’ll be productive and you’ll know the following:

pytorch

pytorch Tensor API

pytorch Tensor Manipulation

Intro to Torch.NN

pytorch Autograds and gradients

pytorch Vision training pipeline

torchvision pretrained model load

pytorch Quiz

Note:  The Hands on section is written in python 3.6, pytorch, which is defacto now a days for deep learning. But the concepts covered in the course is also applicable if you use tensorflow or other equivalent libraries.

===============================

This is a free course

===============================

Instructor

The instructor of this course have more than 15+ years of experience in Machine learning and deep Learning, and worked with people from Google Brain team. The instructor also hold multiple patent in the area of machine learning and deep learning.

Fish.AI is in stealth mode early stage start up as of 2021.

===============================

This Course Also Comes With:

Lifetime Access to All Future Updates

A responsive instructor in the Q&A Section

This is the course that could improve your career!

Computer vision is a niche skill. Especially if you know deep learning approches, to learn computer vision pytorch is a must have skill.

I hope to see you inside the course!

Who this course is for:

AI application Developers who want to built cool Deep learning based applications

AI Architects who want to develop state of the art vision products

Anyone looking to learn the deep learning

Happy learning!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to Pytorch

Lecture 1: Intro To Pytorch

Lecture 2: Tensor Manipulation

Lecture 3: Pytorch AutoGrad

Lecture 4: Training pipeline for a Vision Task. with Cifar-10

Lecture 5: Custom CNN in Pytorch

Instructors

samrat saha
Principal Data Scientist @ jio

Rating Distribution

1 stars: 2 votes

2 stars: 3 votes

3 stars: 10 votes

4 stars: 14 votes

5 stars: 18 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!