11-785 Deep Learning Recitation 0B: Fundamentals of NumPy – Math Operations (Part 7/7)
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How to Calculate a Mandelbrot Set
In this video short I show how to perform the calculations needed for a mandlebrot set. How to do this in Python: https://www.youtube.com/watch?v=WCsWY3p8Jms #shorts #mandelbrot #fractal Source of this machine learning/AI Video
SingularityNET: Deep Funding | Governance Voting Experiment
Deep Funding has always been about the community. In the current way of running this program, the community decides which projects are awarded a grant by casting a vote. However, this decision process can be extended to a lot of other topics concerning the governance of Deep Funding itself. In this video, Jan Horlings, VP […]
11-785 Deep Learning Recitation 0B: Fundamentals of NumPy – Reshaping NumPy Arrays (Part 2/7)
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Early Stopping in PyTorch to Prevent Overfitting (3.4)
It can be difficult to know how many epochs to train a neural network for. Early stopping stops the neural network from training before it begins to seriously overfitting. Generally too many epochs will result in an overfit neural network and too few will be underfit. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/t81_558_class_03_4_early_stop.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ […]
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 […]
SingularityNET: Ambassador Townhall Meeting #18 | September 13th, 2022
Recording of our last week’s Community Ambassador Townhall Meeting. Notes: https://miro.com/app/board/uXjVO0WVUBA=/ Dework: https://app.dework.xyz/singularitynet-ambas/ GitBook: https://snet-ambassadors.gitbook.io/home/ The next Town Hall meeting will be going live and recorded on September 20th, at 18:00 UTC, on our Discord server. To join upcoming ambassador meetings, please make sure that you’re part of our Discord community! Discord: https://discord.gg/snet Special thanks […]
11-785 Deep Learning Recitation 0H: WandB
Link to the Notebook: https://colab.research.google.com/drive/1gVwGcSThCzIJ9_k5HYEbpdp9QOtI2Y_I?usp=sharing YouTube Source for this AI Video
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
11-785 Deep Learning Recitation 0C: PyTorch Tensor Fundamentals (Part 2/2)
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Introduction to PyTorch
PyTorch is an open-source framework for prototyping, building, and deploying machine learning systems. Whether you’re a researcher in academia or a hobbyist dabbling in machine learning, there’s something for you in the PyTorch ecosystem! Suraj Subramanian and Justin Jeffress, Developer Advocates for PyTorch share a quick and easy-to-follow overview to get you started using PyTorch. […]
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 […]
Big differences in the way people need to approach machine learning problems nowadays
This is a video about Big differences in the way people need to approach machine learning problems nowadays 00:00 Big differences in the way people need to approach machine learning problems nowadays YouTube Source for this AI Video
Machine Learning in Production: What to do after you’ve trained the models?
Search is the first line of defense when it comes to a customer looking for what to buy on an e-commerce website. If a customer can’t find what they are looking for you are likely to lose the customer or worse never acquire them. In addition to being critical to the E-Commerce experience, providing personalized […]
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 ▶️ […]
Productionizing Machine Learning Models at Scale with Kubernetes
Productionizing machine learning models in an organization is a difficult challenge for several reasons. From a technical perspective, it requires tooling to handle tasks such as model deployment, monitoring, and retraining. Talent-wise, these tasks require practitioners to possess technical skills in software engineering and DevOps. Coupled with a rapidly changing landscape and shortage of established […]
SingularityNET: Ambassador Townhall Meeting #17 | September 6th, 2022
Recording of our last week’s community Ambassador Townhall Meeting. Apologies for the delay in posting this, the September 13th is coming up shortly. Notes: https://miro.com/app/board/uXjVO0WVUBA=/ Dework: https://app.dework.xyz/singularitynet-ambas/ GitBook: https://snet-ambassadors.gitbook.io/home/ slides: https://docs.google.com/presentation/d/17i_tuPnDOhUkHQiXUcT9TRAUreREmlHbMQXNkefoCkg/edit?usp=sharing The next Town Hall meeting will be going live and recorded on September 13th, at 18:00 UTC, on our Discord server. To join upcoming […]
Chaos and Pain in Machine Learning, and the ‘DevOps for ML Manifesto'
Most AI/ML projects start shipping models into production, where they can deliver business value, using the no-process process. That is, people just do their best by creating an ad-hoc process with familiar tools. This works for tiny teams at first, but as the team grows you’ll discover significant chaos and pain trying to operationalize AI. […]
SingularityNET: Inside SingularityNET | September 2022
This is a recording of the #SingularityNET Ecosystem leaders meeting, which was recorded on September 12th 2022, including updates on project progress, exciting news, and discussions around key initiatives. 0:00 Janet Adams – COO – SingularityNET 5:48 Dr. Matt Iklé – CAIO – SingularityNET 10:38 Dr. Alexey Potapov – OpenCog Hyperon Project Lead 13:25 Haley […]
Top Trends in Enterprise Machine Learning for 2021
In the past 12 months, there have been myriad developments in the field of AI/ML. Not only have we seen shifts in tooling, security, and governance needs for organizations, but we’ve also witnessed massive changes in the field due to the economic impacts of COVID-19. Every year, Algorithmia surveys business leaders and practitioners across the […]
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 […]