PyTorch 101 Crash Course For Beginners in 2025 (+ Special Giveaway!)

Want to master PyTorch? This crash course by ML Engineer Daniel Bourke is the most up-to-date PyTorch tutorial on KZbin!
If you like this, you’ll LOVE Dan's full course! Dive into advanced topics and complete the FoodVision project 👇
🔥 Full PyTorch Bootcamp Course: zerotomastery.io/courses/learn-pytorch/
🎁 Use YTPYTORCH10 to get 10% OFF
👨‍💻 Source Code: github.com/mrdbourke/pytorch-deep-learning
📓 Course Materials: www.learnpytorch.io/
🐍 Free Python 101 Crash Course: kzbin.info/www/bejne/aqalk3aLn6-SfZo
==========
⏰ Timestamps ⏰
Ch. 0 - Fundamentals
00:00 Intro
01:34 What is Deep Learning?
07:38 Why Machine Learning?
11:21 Rule of ML
17:11 ML vs. DL
23:27 Neural Network Anatomy
32:58 Learning Paradigms
37:38 DL Applications
44:10 PyTorch Intro
54:32 Tensors
58:57 Course Overview
1:05:13 Best Practices
1:10:32 Resources
1:16:04 PyTorch Setup
1:23:53 Intro to Tensors
1:37:28 Random Tensors
1:47:36 Zeros & Ones
1:50:55 Ranges
1:56:22 Data Types
2:05:56 Attributes
2:14:29 Operations
2:20:38 Matrix Multiplication Pt. 1
2:30:23 Matrix Multiplication Pt. 2
2:38:24 Shape Errors
2:51:31 Aggregation
2:57:51 Min/Max
3:01:17 Reshaping
3:15:08 Squeeze/Unsqueeze
3:27:13 Indexing
3:36:55 Tensors & NumPy
3:46:13 Reproducibility
3:57:10 Accessing GPUs
4:09:10 Device-Agnostic Code
4:17:03 Exercises
Ch. 1 - Workflow
4:22:03 Workflow Intro
4:24:59 Setup
4:32:23 Dataset Creation
4:42:14 Data Splitting
4:50:44 Data Visualization
4:58:39 Linear Model
5:12:59 Model Breakdown
5:19:19 Key PyTorch Classes
5:25:55 Inspect Model
5:35:56 Predictions
5:47:18 Training Intuition
5:55:43 Optimizer Setup
6:08:44 Training Loop
6:22:48 Write Training Loop
6:31:45 Training Steps Review
6:46:52 Run Training Loop
6:56:28 Testing Code
7:08:15 Testing Steps Review
7:23:07 Model Save/Load
7:37:02 Device-Agnostic Practice
7:52:09 Full Workflow: Data
7:58:27 Model
8:08:44 Training
8:21:34 Predictions
8:27:02 Save/Load
8:36:22 Exercises
Ch. 2 - Neural Network Classification
8:40:30 Intro
8:50:21 Example
8:59:38 Architecture
9:06:19 Dataset Creation
9:18:47 Splitting Data
9:30:53 Modelling Steps
9:35:22 Small Network
9:46:29 Visualize Model
9:53:37 Using nn.Sequential
10:07:04 Functions Setup
10:22:05 From Logits to Labels
10:38:21 Training Loops
10:53:58 Predictions
11:08:21 Model Improvement
11:16:34 New Model
11:25:50 Test New Model
11:38:45 Straight Line Dataset
11:47:03 Fit Straight Line
11:57:14 Predictions Evaluation
12:02:47 Adding Non-Linearity
12:12:57 Non-Linear Model
12:23:32 Training Non-Linear Model
12:38:55 Evaluate Non-Linear Model
12:44:52 Activation Functions
12:54:37 Multi-Class Dataset
13:06:11 Multi-Class Model
13:18:49 Multi-Class Loss Function
13:25:39 Logits to Labels (Multi-Class)
13:36:51 Train Multi-Class Model
13:53:18 Evaluate Multi-Class Model
14:01:27 Classification Metrics
14:10:54 Exercises
Ch. 3 - Computer Vision
14:14:02 Intro
14:26:01 Input/Output Shapes
14:36:19 What is CNN?
14:41:32 CV Libraries
14:51:02 Dataset Overview
15:05:43 Visualizing Samples
15:15:45 DataLoader Overview
15:23:13 DataLoaders Creation
15:35:46 Baseline Model
15:50:35 Loss Function & Optimizer
16:01:14 Timing Code
16:06:59 Training & Testing Loops
16:28:35 Evaluation Function
16:41:43 Device-Agnostic Code
16:45:40 Model 1: Non-Linear
16:54:53 Loss Function
16:58:07 Refactor Training Loop
17:06:46 Refactor Testing Loop
17:13:32 Train Model 1
17:25:35 Model 1 Results
17:29:54 Model 2: CNN Overview
17:38:28 Build CNN
17:58:26 Conv2D Explanation
18:13:36 Layer Shapes
18:27:32 CNN Loss Function
18:30:21 Train CNN
18:38:25 Compare Results
18:45:59 Best Model Predictions
18:57:48 Plot Predictions
19:06:09 Confusion Matrix Setup
19:21:40 Evaluate with Confusion Matrix
19:28:45 Save Best Model
19:40:22 Summary/Exercises
Ch. 4 - Custom Datasets
19:46:34 Intro
19:56:38 Device-Agnostic Code
20:02:43 Download Images
20:16:58 Explore Format
20:25:50 Visualize Images
20:37:40 Transform Images
20:42:38 Data Augmentation
21:03:23 ImageFolder Loading
21:12:51 Visualize Loaded Images
21:20:20 DataLoader Creation
21:29:33 Custom Dataset Class
21:37:43 Helper Function
21:47:01 Write Custom Dataset
22:04:57 Dataset Class Comparison
22:12:21 Visualize Custom Dataset
22:26:50 Datasets to DataLoaders
22:33:59 Advanced Augmentation
22:48:33 Baseline Model Overview
22:56:59 Build Tiny VGG
23:08:34 Forward Pass
23:16:54 Torchinfo Summary
23:23:41 Training Functions
23:36:55 Train Model 0
23:47:19 Plot Loss Curves
24:06:36 Overfitting vs. Underfitting
24:20:59 Augmented Datasets
24:32:13 Train Model 1
24:39:34 Compare Loss Curves
24:54:12 Custom Data Predictions
25:38:56 Summary/Exercises
Ch. 5 - Going Modular
25:48:17 Intro
26:00:02 Notebook Pt. 1
26:07:52 Dataset Download
26:12:52 Python Script Outline
26:26:53 PyTorch DataLoaders Script
26:37:40 Model Building Script
26:53:35 Save Model Script
26:59:52 Training Script
27:15:49 Summary/Exercises
27:21:58 Final Takeaway
Full PyTorch Bootcamp 👉 zerotomastery.io/courses/learn-pytorch/

[@ZeroToMastery]

🔥 LIMITED TIME GIVEAWAY: 🔥 LIKE this video and leave a COMMENT and you could win FREE access to Daniel's Complete PyTorch for Deep Learning Bootcamp. For every 50 comments, we'll randomly select another winner. P.S. Beware of scammers! We’ll never ask for your personal information or request you to follow external links to claim a prize. Any winners will only be contacted through the official Zero To Mastery KZbin channel, and we’ll ask you to email us to confirm your identity using the same KZbin account that you used to comment. Stay safe, and enjoy learning!

[@derHowitzer]

Awesome resource!! Dan is a legend. Followed his first PyTorch course from July 2022, and now I am back for a refresher.

[@MisterSirJeff]

I'm still somewhat new to Python but this looks like something for me to learn after getting more python knowledge.

[@perfectum-perfectyourself2762]

Yeah, let's go, I'll finally start learning ML, hopefully I'll be able to work in this industry at some point in the future.

[@iamumairjaffer]

That's Awesome I'm following to Daniel Bourke since 2022 ❤❤ he's great instructor.

[@jayaramsundar9821]

I'm a student, and learning PyTorch would help me build an AI model. Thank you, Daniel Bourke, for creating this course and I would love to take the full course.

[@ZeroToMastery]

Glad you find it helpful!

[@brooklyn_domino]

I've learned so much from Daniel's videos. I owe all my Pytorch knowledge to him.

[@couonetechnology5805]

Sometime, I always amazed why you are giving this knowledge without collecting anything. Sincerely, we should give you award for this.

[@ZeroToMastery]

We're happy to give back to the community! 😊

[@Pythonology]

Very energetic and enthusiastic teacher. His energy is contagious. I like that it is practical and code focused without getting too much into math behind the ML

[@ZeroToMastery]

Thank you! 😃

[@FedaiPaca]

25 hours! Right now taking the data science course of yours, and couldn't imagine about this... 🤯

[@Semuni-Fun-Reaction]

Wow another amazing course . Thanks ZTM and Dani

[@christopheanfry]

Amazing course. It’s bookmarked!!!

[@cognifyt]

I am glad ZTM is still making Quality contents. I wish them all the good luck.

[@ZeroToMastery]

Thank You!

[@TheCodeBerry]

I have been following Daniel and zero to mastery for over 2 years I don't currently Have the money to get that bootcamp , but I want it soo bad. .🙃🙃( I have already watched about 10 hourse of this course and also the python course of Andrei on youtube and learned soo much )

[@MohammadOmarAdde]

Daniel is the one who motivated me to self-study ML with his previous videos on TensorFlow, PyTorch, and many other giants of knowledge. Thanks to ZTM and Daniel

[@ZeroToMastery]

You're Welcome 🙌

[@dizhhav1699]

Been waiting for a course like this

[@alihamzeh5958]

Let's go Daniel

[@KhYwxf]

Excited to learn 🔥PyTorch.

[@chainproject-q4n]

One of the greatest course with the phenomenon ❤

[@knowsar]

22 minutes in and i'm inlove with this course 🔥

[@ZeroToMastery]

We're glad to hear it!

[@MomozKreationz]

This guy is one of the best teacher on KZbin great explanations. Wow I can't wait to start this one though am still finishing the Introduction of machine learning still from this very channel ❤

[@ZeroToMastery]

Let’s learn some PyTorch! 💪

[@SayakKolay]

Hi, I'm a Statistics student from India trying to get into a data scientist role. So far I've learnt about Regression, Time Series, ANOVA, Survival Analysis, etc. Now I am learning about Machine Learning and Deep Learning to get into relevant AI roles. This video is surely going to help me a lot ! 😁 Many thanks for releasing this for free !

[@ZeroToMastery]

Best of luck!

[@knowsar]

Deep learning with Pytoourch… yay🎉

[@robinglover8554]

Loving the videos you put out. Please keep up the good work. It is truly appreciated.

[@ZeroToMastery]

We're glad you're enjoying it! 😊

[@asifsvirtualfootprint7370]

Always a fan of your teaching style.

[@ZeroToMastery]

We appreciate that!

[@danielribes5433]

Thanks so much. I've always wanted to go deep into AI and machine learning and deep learning. So this is my opportunity. Thanks so much for allowing us start with this great course.

[@ZeroToMastery]

Great to hear!

[@MosleuddinSarkar]

I am a hobby python programmer. I developed some desktop applications using pyside6 for my personal use and some simple games using Kivy. I have intermediate level knowledge in python including numpy and pandas. I never tried AI, ML or Deep Learning because I don't know how much knowledge of maths and statistics required to learn it. My aim is to teach high school students the fundamentals of AI, ML and Deep Learning in addition to python. Thank u for the video.

[@ZeroToMastery]

Not as much math as people assume. Best of luck in your journey!

[@harishb884]

Awesome Course! Thanks 🙏

[@ZeroToMastery]

Glad you like it!

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That awesome to learn with such a deep knowledge

[@aslamkhan8362]

wanted this course for a long time, thankyou

[@ZeroToMastery]

You're welcome! 😊

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Great course 👍

[@mfj-k6g]

amazing course that toooo fro FREEEEEE woooooooow love dan

[@MuhammadUmar-j3s]

Thanks for giving such a gift in advance

[@altvaro]

thank you for all the content ZTM and Daniel!!

[@ZeroToMastery]

You're Welcome!

[@KissChiss]

Hi Dan... I love your Videos and always look forward to learning more from you. Kindly do a comprehensive tutorial on Python Programming (Beginner to Advanced - Full Course) if you can please.

[@ZeroToMastery]

Hey! We already have a Python crash course here on KZbin. I'll link it below for you👇 kzbin.info/www/bejne/aqalk3aLn6-SfZosi=5RZ7l_jN3BV6VTpV

[@GashahunDemise]

Deep learning - an interesting topic thanks

[@mounirgharsallah1263]

Thank you for sharing this intensive course...

[@ZeroToMastery]

You're welcome!

[@slimkhaled6513]

Great Video to learn Pytorch !!!

[@ZeroToMastery]

We're glad you found it helpful!

[@MunirNawaz]

Good and useful, keep sharing!

[@ZeroToMastery]

Thanks a lot

[@carrollsoup9291]

YAY 25 HOURS, I NEED THIS

[@yaswanthteja5963]

Thanks for the video

[@brtoneal6339]

This crash course is too valuable !!

[@ZeroToMastery]

Thank You!

[@mohamedbouchena471]

Amazing course thanks

[@ZeroToMastery]

Glad you like it

[@gerryhoekema2561]

I am eager to learn about PyTorch!

[@prabhatranjanmohanta5043]

I aim to complete this course in 7 days..

[@tenamsb686]

1 month, don't rush, practice and research properly or its wasted effort.

[@md.bayazidrahman4274]

Awesome course without any doubt

[@ZeroToMastery]

Glad you think so!

[@ChillingDaysOff-hh1vr]

Thanks

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[@thajudheen2362]

Nice video ❤❤❤

[@NphiniT]

Now this is what I've been waiting for! 🔥🔥

[@ZeroToMastery]

Winner, winner, PyTorch dinner! 🎉 Congrats @NphiniT, you’re our lucky winner! To claim your prize, please email us at [e-mail] using the same KZbin account you used to comment. Enjoy the course and happy learning!

[@NphiniT]

@ZeroToMastery 🎉🎉 Wow thank you. I've never won anything in my life. Thank you sooooo much

[@NphiniT]

I’ve emailed you to claim my prize.

[@ZeroToMastery]

@@NphiniT We just emailed you your free access code! 🎉 Check your inbox and enjoy the course!

[@jamesmiths72]

Wao thank you very much!!!

[@tinonturja3946]

It's a great opportunity for sure. Whoever gets this is a goddamn lucky one. I wish I could get this.

[@shivampathak9439]

PyTorch has been on my learning list for a while. This course would be an incredible opportunity to enhance my skills 🤩

[@AmnHussainKhan]

hey shivam after learning python can we directly see this video or we need to study about ml and ai ?

[@ZeroToMastery]

You’re in the right place! 😊

[@snookandrew]

Very cool. Will be a nice project

[@harryoatmeal2937]

Thank you ❤

[@mhnayeem01]

As a beginner i have now huge confidence

[@lawson1310]

This is awesome!!!

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Wonderful!!

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Excellent course!

[@ZeroToMastery]

Glad you think so!

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This is massive ❤

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thanks for the course

[@ZeroToMastery]

Any time

[@brightedward7783]

Wow!!! what an interesting content Thanks for this

[@ZeroToMastery]

Our pleasure!

[@chuythong8923]

great course

[@Ani-ro9gu]

The best thing about this course is its beginnner frieandly

[@adityawaghaskar4250]

Thanks for the video!!

[@ZeroToMastery]

You bet!

[@adityawaghaskar4250]

@ZeroToMastery hey! Tha nks for the like and reply!

[@TrevyBurgess]

I'm new to machine learning. However AI is the future of employment, which means - everyone should learn.

[@ahmadullah_ahmadi]

Loves this one

[@Gregorykxk]

Great job. Perfect for sleepless night.

[@serviceinfo1044]

I am new to ML, want to learn more about ML

[@iCodeStuff69]

I wish the course could be given away to me, it will be really helpful for me as i cant afford it, thank you

[@kevincodes674]

Great content

[@fouratmarouen3365]

Pytorch for the winnn 🎉🎉

[@jacksonsmith...]

❤ That's lovely

[@BalachandarMohan-g1t]

good learning path

[@codewithreshidev]

Thanks Team Zero To Mastery and Teacher Deniel. as student this course come when i need

[@ZeroToMastery]

Glad to hear it!

[@yenugusujithreddy658]

It is an awesome video

[@BitsByteswithPartho]

Great course.

[@ZeroToMastery]

Thanks for checking it out!

[@theUnmeshraj]

Pytorch for the win 🔥🔥

[@sidds09]

thanks. pls do a python next course.

[@ZeroToMastery]

We already have one live 🙂 kzbin.info/www/bejne/aqalk3aLn6-SfZo

[@philtoa334]

Nice

[@shortflicks83]

Amazing brother what about Tensorflow ?

[@ZeroToMastery]

Stay Tuned 👀

[@shahilshrestha3700]

I am having exam this week. i will watch this video later after exam.

[@ZeroToMastery]

Good luck on your exam!

[@im_zainonline]

We deserve a Certificate to prove that we did so much study of 27 hours on Pytorch. Just a suggestion to check who goes your full video simple easy Quiz to check who took this course at least 75 percent or some your acceptable range.

[@technicious-dev]

😂😂😂 after giving you this much information for free? Come on!

[@ZeroToMastery]

Hey, we give our students a ZTM certification when completing the full course. This is only the first half 😅

[@AhmedAbdeldayem-hc1jo]

27 HOURS!!! , WOW

[@bilalnazar9261]

I've watched Daniels video about machine learning before and it was really helpful. I'd really appreciate it if I got selected. 🥳

[@ZeroToMastery]

We're glad you enjoyed it!

[@mijak1982]

Pytorch for the win 😀

[@QuantumXdeveloper]

Is there also Tensorflow course, then please upload.

[@ZeroToMastery]

Keep your eyes peeled, it could be coming soon 👀

I think this is the longest KZbin video I have seen :D

[@ZeroToMastery]

😅

[@AnubhavPatra-f4f]

Awesome

[@ak_media_]

🔥🔥🔥

[@Nanami-fm4rb]

Where i learn object detection ??

[@GrabTheDevilByHorns]

Will you ever do something similar for JAX?

[@ZeroToMastery]

As of now, we don't currently have a course on JAX. Maybe down the line 👀

[@elliscaicedo9045]

PyTorch rules

[@BalaMathias]

Pytorch for the win.

[@ZeroToMastery]

🙌

[@danieljie4721]

Let's goooooooo

[@abdulgafarjimoh8250]

I'm from Nigeria, I want to learn this to build a real life projects.

[@scottsmith5048]

PyTorch!

[@Bright-Great]

I love it

[@PeterMahama]

Sweet

[@muhammadalinizamani7858]

hello

[@ZeroToMastery]

👋