Two Minute Papers: NVIDIA’s New AI: Beautiful Simulations, Cheaper! 💨

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks” is available here: https://developer.nvidia.com/rendering-technologies/neuralvdb https://blogs.nvidia.com/blog/2022/08/09/neuralvdb-ai/ https://arxiv.org/abs/2208.04448 📝 The paper with the water simulation is available here: https://users.cg.tuwien.ac.at/zsolnai/gfx/photorealistic-material-editing/ ❤️ Watch these videos in early access on our Patreon page or join […]

Transformers for Tabular Data at Capital One with Bayan Bruss – #591

Today we’re joined by Bayan Bruss, a Sr. director of applied ML research at Capital One. In our conversation with Bayan, we dig into his work in applying various deep learning techniques to tabular data, including taking advancements made in other areas like graph CNNs and other traditional graph mining algorithms and applying them to […]

NVIDIA GTC 2022 – My Session Picks

Registration Link: https://nvda.ws/3vNRiLb (please use this one) NVIDIA Deep Learning Institute: https://www.nvidia.com/en-us/training/ My picks: Keynote https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1657326563846001zRzJ Roundtable https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1656098868289001rHuQ CUDA https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1655232120108001VJ29 https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/165471356386700183uX Career https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1656524764448001i2bG AWS GPU https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1659634536518001hKdn PyTorch Production https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1655499808507001ohEi Source of this machine learning/AI Video

Introduction to PyTorch for Deep Learning with Python (3.2)

An introduction to PyTorch in Python. This video sets the foundation for the rest of the course by introducing TensorFlow and how it is accessed with Python. PyTorch neural networks are demonstrated as a higher level abstraction for deep neural networks. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/t81_558_class_03_2_pytorch.ipynb Quick overview of Mandelbrot: https://www.youtube.com/shorts/mKbm0Qj80NI ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ […]

Two Minute Papers: NVIDIA’s AI: Amazing DeepFakes And Virtual Avatars!

❤️ Check out Weights & Biases and say hi in their community forum here: https://wandb.me/paperforum 📝 The paper “One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing” is available here: https://nvlabs.github.io/face-vid2vid/ Try it out: http://imaginaire.cc/vid2vid-cameo/ ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join […]

11-785 Deep Learning Recitation 0G: Fundamentals of AWS (Part 3/4)

Introduction: 0:00 SSH Connection: 0:40 EBS & EFS: 2:46 Python Miniconda3: 6:19 Kaggle & Jupyter Configs: 8:32 Tar and Save: 10:09 Commands Used in the Video: https://colab.research.google.com/drive/1dboAGUC6RMLiLbBDPCEN-L2KCzawaLli?usp=sharing Useful Link for AWS Setup: https://chen-zhe.github.io/blog/p/aws-user-notes-for-deep-learning/#3-tar-the-configured-environment-and-save-to-efs YouTube Source for this AI Video

Deep Learning and Neural Network Introduction with PyTorch (3.1)

Categorical values typically express textual data and require special techniques to be encoded for deep learning. This video shows how to use dummy variables/one hot encoding and more complex ordinal encoding and target encoding for PyTorch. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/t81_558_class_03_1_neural_net.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook – Coming soon 😸🐙 GitHub – https://github.com/jeffheaton/t81_558_deep_learning/tree/pytorch ▶️ […]

NVIDIA Wants You To Have A Free GPU

I’m giving away a Founder’s Edition 3080 Ti as well as 5 credits for courses at NVIDIA’s deep learning institute, as well as my own educational platform, the Neuralnet Academy. Instructions for this giveaway: 1) Subscribe! 2) Register for the conference using this link: https://nvda.ws/3A2v6zk 3) Watch Jensen’s keynote speech; take a screenshot of your […]

Final Plans for NVIDIA GTC 2022

To participate in the giveaway: 1. Register for GTC 2020, I would appreciate it if you use this link: Registration Link: https://nvda.ws/3vNRiLb (please use this one) 2. Setup your schedule for the conference, choose the sessions you want to view. 3. Next week, take a screen shot of the stream (either livestream or recorded) and […]

Feature Engineering in Pandas for Deep Learning in PyTorch (2.5)

Feature engineering is a critical skill for data science and deep learning. This video shows how to use Pandas for feature engineering to prepare your data to maximize the predictive power of your machine learning models. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/t81_558_class_02_5_pandas_features.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook – Coming soon 😸🐙 GitHub – https://github.com/jeffheaton/t81_558_deep_learning/tree/pytorch ▶️ […]

Two Minute Papers: DeepMind’s AlphaFold: 200 Gifts To Humanity! 🧬

❤️ Check out Cohere and sign up for free today: https://cohere.ai/papers 📝 The paper “Highly accurate protein structure prediction with #AlphaFold” is available here: https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe https://www.nature.com/articles/s41586-021-03819-2 https://www.deepmind.com/blog/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology Database: https://www.uniprot.org/ ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to […]

Two Minute Papers: Google’s New AI: Fly INTO Photos! 🐦

❤️ Train a neural network and track your experiments with Weights & Biases here: http://wandb.me/paperintro 📝 The paper “Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image” is available here: https://infinite-nature.github.io/ ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join […]

TWiML & AI x Fast.ai Deep Learning Study Group – Session 2B – October 6, 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our Fast.ai x TWiML Online Study Group. In this session, we review lesson two, Convolutional Neural Nets. Topics covered include: • Learning Rate (LR) • Data Augmentation • Stochastic Gradient Descent (SGD) with Restart approach • Using Test Time Augmentation It’s not too […]

Deep Learning for Automatic Basketball Video Production with Julian Quiroga – #389

Today we return to our coverage of the 2020 CVPR conference with a conversation with Julian Quiroga, a Computer Vision Team Lead at Genius Sports. Julian presented his recent paper “As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition” at the CVSports workshop. We jump right into the paper, […]

Invariance, Geometry and Deep Neural Networks with Pavan Turaga – #386

We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University, with dual appointments as the Director of the Geometric Media Lab, and Interim Director of the School of Arts, Media, and Engineering. Pavan gave a keynote presentation at the Differential Geometry in CV and ML Workshop, speaking on Revisiting […]

Two Minute Papers: Stable Diffusion: DALL-E 2 For Free, For Everyone!

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “High-Resolution Image Synthesis with Latent Diffusion Models” is available here: High-Resolution Image Synthesis with Latent Diffusion Models https://github.com/mallorbc/stable-diffusion-klms-gui ❗Try it here (we seem to have crashed it…again 😅, but sometimes it works, please be patient!): https://huggingface.co/spaces/stabilityai/stable-diffusion ❗Or here: https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_diffusion.ipynb […]