Tag: PyTorch

Pytorch

Computer Vision

Torch Tensors

Torch AutoGrad

Torch computation Graph

Torch Train pipeline

Requirements

• Desire to learn something awesome and new!

Description

Published in  2021: Alpha Release

Dedicated to my Late Father KPS

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

Welcome to the Introduction to pytorch this course is a prerequisite to our other course Focused 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!

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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.

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This is a free course

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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.

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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!

Who this course is for:

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

Course content

A coding-focused introduction to Deep Learning using PyTorch, starting from the very basics and going all the way up to advanced topics like Generative Adverserial Networks

Requirements

• Basic knowledge of Python
• Basic linear algebra (vectors, matrices etc.)

Description

“PyTorch: Zero to GANs” is an online course and series of tutorials on building deep learning models with PyTorch, an open source neural networks library. Here are the concepts covered in this course:

1. PyTorch Basics: Tensors & Gradients
2. Linear Regression & Gradient Descent
3. Classification using Logistic Regression
4. Feedforward Neural Networks & Training on GPUs (this post)
5. Coming soon.. (CNNs, RNNs, transfer learning, GANs etc.)

This course will be updated on a weekly basis with new material.

Who this course is for:

• Students and developers curious about data science
• Data scientists and machine learning engineers curious about PyTorch

Course content