PyTorch for Deep Learning - Full Course / Tutorial

In this course, you will learn how to build deep learning models with PyTorch and Python. The course makes PyTorch a bit more approachable for people starting out with deep learning and neural networks.

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⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:03:25) PyTorch Basics & Linear Regression
⌨️ (1:32:15) Image Classification with Logistic Regression
⌨️ (3:06:59) Training Deep Neural Networks on a GPU with PyTorch
⌨️ (4:44:51) Image Classification using Convolutional Neural Networks
⌨️ (6:35:11) Residual Networks, Data Augmentation and Regularization
⌨️ (8:12:08) Training Generative Adverserial Networks (GANs)

[clarencedomond]

This is the best course on Neural Networks and PyTorch I have ever watched in my life, and I'm barely done with it. I could cry. Everything is explained in detail, amazing. I am completely new to Neural Networks and I feel somewhat comfortable already. Thank you!

[WhyWorldSucks]

⭐ Course Contents ⭐
⌨ (0:00:00) Introduction
⌨ (0:03:25) PyTorch Basics
⌨ (0:35:00) Linear Regression
⌨ (1:32:15) Image Classification with Logistic Regression
⌨ (3:06:59) Training Deep Neural Networks on a GPU with PyTorch
⌨ (4:44:51) Image Classification using Convolutional Neural Networks
⌨ (6:35:11) Residual Networks, Data Augmentation and Regularization
⌨ (8:12:08) Training Generative Adverserial Networks (GANs)

[maoryatskan]

Amazing, freecode should reserve a prize for their efforts.

[hemaswaroop]

This video was uploaded 3 hours ago having a duration of 9hrs. Folks have already commented praising the video. I'm wondering if they have really seen it fully and commented or just posting randomly.

[pfever]

I'm impressed by the quality of this course, he knows the topic very well and explains it clearly!

[indranilchakraborty]

Wow first time I heared Indian Voice in this channel.

[boreycheng]

This tutorial is complete and materials are available across multiple platforms. Thank you!

[sekandooon]

Perfect course for someone who wants start learning PyTorch. Amazing work, thanks a ton!

[ravidhar]

I really liked the second last part of the training program where the instructor has brought in a game changer that accelerates a data science model performance from 50% to over 95% using various techniques. ..Well what this means is that Data Science Models can now train faster and predict more accurate insights.
Great job instructor, some more user cases in the medical field would be appreciated in your next video. Thank you so much, great work!!

[covid-ultrapromax]

Summary : Coding = Food + Digestion = $hit
Artificial Intelligence = Food + $hit = digestion.

[bhanutejanellore]

Small suggestion. Instead of following 10 hour video, its more convenient for me to follow a playlist broken up based on small topics.

[mohamedkeita]

wow ive been waiting for this im 13 learning ai ive already learned the basic of python . but this is my first time watching such a thorough tutorial.

[anant]

Im starting right now. Anyone else with me? to track our progress

[atraps]

i usually hate ads on youtube video but when it comes to ads on FCC, i gladly watch them cause I know its gonna help them provide us with more free quality content like this. Like seriously, I tried to learn some pytorch from a book and I wasn't making much progress but then this video really propelled me forward.

[sricharan]

i just started to learn pytorch this evening, phew, just got some good material to learn, thanks :)

[ericdoolaar]

Really well done, Aakash explains the concepts very well, and the code is easy to follow. Unfortunately, the Residual Network (Part6) file from Jovian doesn't match the video - seems the Jovian version doesn't use the FastAI modules. But the explanation of RN's was well done. Highly recommended!

[pranayp]

I would recommend the viewers to check out these notebooks in the description. It's pretty good.

[tanvirmahtab]

For a first timer like me, things got really complicated from the later half of the Logistic Regression part. :(

[caleb_sample]

I love it every time he says "r"

[manhhai]

pls generate the eng-sub so that we can learn even more easier! anyway, this course is amazing!