#shorts #machinelearning #deeplearning #gnn #graphs

Tensors are super important for neural networks, but can be confusing because different people use the word "Tensor" differently. In this StatQuest, we clear this up and tell you what the big deal is. BAM!

NOTE: If you are not already familiar with Neural Networks, check out the Neural Network playlist: https://www.youtube.com/watch?v=CqOfi41LfDw&list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1

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0:00 Awesome song and introduction
1:34 Why we need Tensors
4:52 Tensors store data
6:51 Tensors have hardware acceleration
7:37 Tensors have automatic differentiation

#StatQuest #Tensors #NeuralNetworks

In this tutorial we build a Sequence to Sequence (Seq2Seq) with Attention model from scratch in Pytorch and apply it to machine translation on a dataset with German to English sentences, specifically the Multi30k dataset.

Resources to learn more:
https://github.com/bentrevett
https://youtu.be/SysgYptB198
https://youtu.be/quoGRI-1l0A
https://arxiv.org/abs/1409.0473
https://pytorch.org/tutorials/....intermediate/seq2seq

Comment on resources:
I think bentrevett on Github is awesome and this series of videos was heavily inspired in this video by his Seq2Seq Tutorials and I really recommend checking him out, he puts out a lot of great tutorials on his Github.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx

DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

This is the Programming assignment 1 from Andrew Ngs Machine Learning course.

Github: https://github.com/AladdinPerz....on/Courses/tree/mast

In this video I show you how to to load different file formats (json, csv, tsv) in Pytorch Torchtext using Fields, TabularDataset, BucketIterator to do all the heavy preprocessing for NLP tasks, such as numericalizing, padding, building vocabulary, which saves us a lot of time to focus on actually training the models! In this example I show a toy example dataset for sentiment analysis but the things we go through are general and can be adapted for any dataset.

Resources I used to learn about torchtext:
https://torchtext.readthedocs.io/en/latest/
https://anie.me/On-Torchtext/
https://github.com/bentrevett
https://towardsdatascience.com..../how-to-use-torchtex
https://mlexplained.com/2018/0....2/08/a-comprehensive

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

In this video I walk through the basics of the Hill cipher!

Link to Python implementation: https://www.youtube.com/watch?v=xUEqlzqxSMQ

Paper: https://arxiv.org/abs/2003.08934

Full title: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Timestamps:
0:00 - Introduction
0:54 - Goal of NeRFs
2:36 - NeRF network architecture
4:35 - The key idea you need to understand
6:17 - How NeRFs learn and work
12:15 - Intuition behind volume rendering
15:15 - Loss function
15:55 - Trick #1: Positional Encoding
17:36 - Trick #2: Hierarchical sampling
19:35 - Ending

I was inspired to make these videos by this specialization: https://bit.ly/3SqLuA6

Image-to-Image Translation with Conditional Adversarial Networks: https://arxiv.org/abs/1611.07004

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
Github - https://github.com/aladdinpersson

#PaperReview #PaperExplained

GAN Playlist:
https://youtube.com/playlist?l....ist=PLhhyoLH6IjfwIp8

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Timestamps:
0:00 - Introduction
1:29 - Overview of paper
2:25 - Why GANs for Pix2Pix
3:16 - Loss Function
5:12 - Generator Architecture
9:24 - Discriminator Architecture
12:00 - Some training details
13:24 - Turkers to evaluate GANs
14:10 - Patch size for Discriminator
15:19 - Generator works for larger images
15:50 - More details for implementation
19:05 - Ending

This is my solution to predictOneVsAll.m function in Programming assignment 3 from the famous Machine Learning course by Andrew Ng.

Github: https://github.com/AladdinPerz....on/Courses/tree/mast

I was inspired to make these videos by this specialization: https://bit.ly/3SqLuA6

Full title: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Paper link: https://arxiv.org/abs/1703.10593

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
Github - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Timestamps:
0:00 - Introduction
1:06 - Sneak peak
2:00 - Problem statement
4:30 - Training setup & Cycle Consistency
7:16 - Loss
9:20 - Network architecture
13:15 - Identity loss
14:44 - Limitations of CycleGAN
16:08 - Implementation details
19:10 - Ending

Lista:

Arxiv Insights
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Neural Networks and Deep Learning
Artificial Intelligence - All in One
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ML in PL
MIT OpenCourseWare
the Artificial Intelligence Channel
Yang Xu
ML Explained - Aggregate Intellect - AI.SCIENCE
Jordan Harrod
DeepMind
Machine Learning Street Talk
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Aladdin Persson
Abhishek Thakur

In this first video of this series in object detection we try to understand what object detection is and how it works. We also look at an overview of model architectures in object detection such as a sliding windows approach, regional based family of models (r-CNN) and lastly a quick overview of Yolo which we will go into more in depth (and code from scratch) in a future video!

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

Object Detection Playlist:
https://youtube.com/playlist?l....ist=PLhhyoLH6Ijfw0Tp

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

In this video we show a quick example of how to obtain a clean progress bar that contains information about the current epoch and the progression with regards to loss and accuracy.

Written blogpost if you prefer to read:
https://aladdinpersson.medium.....com/how-to-get-a-pro

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

In this video I'm going to show you how to save and load model weights and then also how you can save and load the entire model including the architecture and optimizer states. The saved model will also be able to run on other TensorFlow frameworks such as TensorFlow.js and TensorFlow Lite without any model conversions. This process of saving the entire model (to a data structure that can then be run on any of these frameworks) is referred to as serialization.

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
affiliate: https://bit.ly/3t3tgI5
non-affiliate: https://bit.ly/3kZgN5B

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

TensorFlow Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

This is from Programming assignment 1 from the famous Machine Learning course by Andrew Ng.

Github: https://github.com/AladdinPerz....on/Courses/tree/mast

#PaperReview #PaperExplained

Blog post link: https://openai.com/blog/language-unsupervised/
Paper link: https://cdn.openai.com/researc....h-covers/language-un