PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella. It is free and open-source software released under the modified BSD license. Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface. A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot, Uber's Pyro, Hugging Face's Transformers, PyTorch Lightning, and Catalyst. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics processing units (GPU) * Deep neural networks built on a tape-based automatic differentiation system (Wikipedia).
From playlist Miscellaneous
PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers
PyTorch Lightning is a lightweight PyTorch wrapper that helps you scale your models and write less boilerplate code. In this Tutorial we learn about this framework and how we can convert our PyTorch code to a Lightning code. Lightning is nothing more than organized PyTorch code, so once y
From playlist PyTorch Tutorials - Complete Beginner Course
How to learn PyTorch? (3 easy steps) | 2021
❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ In this video, I'll give you 3 easy steps you should follow to quickly get started with PyTorch - the most popular deep learning framework in the research community. You'll learn about:
From playlist HOWTOs
Using Sympy to solve algebraic expressions and equations.
From playlist Introduction to Pyhton for mathematical programming
Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)
In this tutorial we go through the basics you need to know about the basics of tensors and a lot of useful tensor operations. I believe knowing about these operations are an essential part of Pytorch and is a foundation that will help as you go further in your deep learning journey. Pytorc
From playlist PyTorch Tutorials
Thank you Alex Crease for preparing the pyrotechnics.
From playlist My Home
Various manipulations of matrices including teh caclulation of eigenvalues and eigenvectors.
From playlist Introduction to Pyhton for mathematical programming
Converse Pythagorean Theorem & Pythagorean Triples
I explain the Converse Pythagorean Theorem and what Pythagorean Triples are. Find free review test, useful notes and more at http://www.mathplane.com If you'd like to make a donation to support my efforts look for the "Tip the Teacher" button on my channel's homepage www.YouTube.com/Profro
From playlist Geometry
❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Should you pick PyTorch or TensorFlow? You'll learn: ✔️ A brief history of both frameworks ✔️ How they compare in the research community ✔️ How they compare in shipping to production ▬▬▬
From playlist HOWTOs
What is PyTorch ? | PyTorch in 8 Minutes | PyTorch Tutorial for Beginners | Simplilearn
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Introduction to Coding Neural Networks with PyTorch and Lightning
Although we've seen how to code a simple neural network with PyTorch, we can make our lives a lot easier if we add Lightning to the mix. It makes writing the code easier, makes it portable to different computing environments and can even find the learning rate for us! TRIPLE BAM!!!! Spani
From playlist StatQuest
PyTorch Tutorial for Beginners | Deep Learning with Pytorch | Pytorch Installation | Simplilearn
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Lecture 8 | Deep Learning Software
In Lecture 8 we discuss the use of different software packages for deep learning, focusing on TensorFlow and PyTorch. We also discuss some differences between CPUs and GPUs. Keywords: CPU vs GPU, TensorFlow, Keras, Theano, Torch, PyTorch, Caffe, Caffe2, dynamic vs static computational gra
From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
PyTorch Basics and Gradient Descent | Deep Learning with PyTorch: Zero to GANs | Part 1 of 6
“Deep Learning with PyTorch: Zero to GANs” is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Learn more and register for a certificate of accomplishment here: http://zerotogans.com/ Watch the entire seri
From playlist Deep Learning with PyTorch Course - December 2020
Keras vs TensorFlow vs Pytorch | Deep Learning Frameworks Comparison 2021 | Simplilearn
With the Deep Learning scene being dominated by three main frameworks, it is very easy to get confused on which one to use? In this video on Keras vs Tensorflow vs Pytorch, we will clear all your doubts on which framework is better and which framework should be used by beginners, intermedi
From playlist AI & Machine Learning | Ronald Van Loon [2022 Updated]
Dr. Jon Krohn - Deep Learning Battle: TensorFlow 2 vs PyTorch
Deep Learning Battle: TensorFlow 2 vs PyTorch by Dr. Jon Krohn. Visit https://rstats.ai/nyr/ to learn more. Abstract: This talk begins with a survey of the primary families of Deep Learning approaches: Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networ
From playlist Talks and Tutorials
Make p-chlorobenzyl chloride (from para-chlorotoluene) 3rd step in making pyrimethamine
In this video we synthesize p-chlorobenzyl chloride from para-chlorotoluene we made in an earlier video. ----------------------------------------------------------------------------------------------------- Glassware generously provided by http://www.alchemylabsupply.com/ Use the disco
From playlist Pyrimethamine