NeuroSAT: An AI That Learned Solving Logic Problems
https://www.youtube.com/watch?v=luwP75lPExo
https://www.youtube.com/watch?v=luwP75lPExo
YouTube
NeuroSAT: An AI That Learned Solving Logic Problems
❤️ This video has been kindly supported by my friends at Arm Research. Check them out here! - http://bit.ly/2TqOWAu
📝 The paper "Learning a SAT Solver from Single-Bit Supervision" is available here:
https://arxiv.org/abs/1802.03685
🙏 We would like to thank…
📝 The paper "Learning a SAT Solver from Single-Bit Supervision" is available here:
https://arxiv.org/abs/1802.03685
🙏 We would like to thank…
CS234: Reinforcement Learning Winter 2019
playlist : https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u
course: http://web.stanford.edu/class/cs234/index.html
playlist : https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u
course: http://web.stanford.edu/class/cs234/index.html
YouTube
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Professor Emma Brunskill, Stanford University
https://stanford.io/3eJW8yT
Professor Emma Brunskill
Assistant Professor, Computer…
Professor Emma Brunskill, Stanford University
https://stanford.io/3eJW8yT
Professor Emma Brunskill
Assistant Professor, Computer…
How to Load, Convert, and Save Images With the Keras API
https://machinelearningmastery.com/how-to-load-convert-and-save-images-with-the-keras-api/
https://machinelearningmastery.com/how-to-load-convert-and-save-images-with-the-keras-api/
MachineLearningMastery.com
How to Load, Convert, and Save Images With the Keras API - MachineLearningMastery.com
The Keras deep learning library provides a sophisticated API for loading, preparing, and augmenting image data. Also included in the API are some undocumented functions that allow you to quickly and easily load, convert, and save image files. These functions…
Protecting networks against adversial attacks
https://medium.com/@lj94sm/protecting-networks-against-adversial-attacks-7fd3e2be15af
https://medium.com/@lj94sm/protecting-networks-against-adversial-attacks-7fd3e2be15af
Medium
Protecting networks against adversial attacks
Neural networks are getting more and more used in our daily life for many different tasks leveraging computer vision. These kind of systems make some decision based on an image input. One of the most…
Beautiful Gooey Simulations, Now 10 Times Faster
https://www.youtube.com/watch?v=-jL2o_15s1E
https://www.youtube.com/watch?v=-jL2o_15s1E
YouTube
Beautiful Gooey Simulations, Now 10 Times Faster
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers
📝 The paper "GPU Optimization of Material Point Methods" is available here:
http://www.cemyuksel.com/research/papers/gpu_mpm.pdf
🙏 We would like to thank our generous Patreon…
📝 The paper "GPU Optimization of Material Point Methods" is available here:
http://www.cemyuksel.com/research/papers/gpu_mpm.pdf
🙏 We would like to thank our generous Patreon…
Open-sourcing PyTorch-BigGraph for faster embeddings of extremely large graphs
https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs/
https://github.com/facebookresearch/PyTorch-BigGraph
https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs/
https://github.com/facebookresearch/PyTorch-BigGraph
Facebook
PyTorch-BigGraph: Faster embeddings of large graphs
Facebook AI has created and is now open-sourcing PyTorch-BigGraph (PBG), a tool that makes it much faster and easier to produce graph embeddings for extremely large graphs.
Using Deep Learning to Improve Usability on Mobile Devices
http://ai.googleblog.com/2019/04/using-deep-learning-to-improve.html
http://ai.googleblog.com/2019/04/using-deep-learning-to-improve.html
blog.research.google
Using Deep Learning to Improve Usability on Mobile Devices
Stanford CS230: Deep Learning
lectures : https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
https://www.youtube.com/watch?v=PySo_6S4ZAg&list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb&index=2&t=44s
lectures : https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
https://www.youtube.com/watch?v=PySo_6S4ZAg&list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb&index=2&t=44s
YouTube
Stanford CS230: Deep Learning | Autumn 2018
Lectures from Stanford graduate course CS230 taught by Andrew Ng. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/H...
Forwarded from Artificial Intelligence
Capturing Special Video Moments with Google Photos
http://ai.googleblog.com/2019/04/capturing-special-video-moments-with.html
http://ai.googleblog.com/2019/04/capturing-special-video-moments-with.html
Googleblog
Capturing Special Video Moments with Google Photos
Build XGBoost / LightGBM models on large datasets — what are the possible solutions?
https://towardsdatascience.com/build-xgboost-lightgbm-models-on-large-datasets-what-are-the-possible-solutions-bf882da2c27d
https://towardsdatascience.com/build-xgboost-lightgbm-models-on-large-datasets-what-are-the-possible-solutions-bf882da2c27d
Medium
Build XGBoost / LightGBM models on large datasets — what are the possible solutions?
XGBoost and LightGBM have been proven on many tabular datasets to be the best performant ML algorithms. But when the data is huge, how do…
Who Will Win the Game of Thrones?
Data visualization tool, had a little fun visualizing the probability of each main character ending up on the Iron Throne, calculated using the latest odds published on the betting site Bovada.
https://towardsdatascience.com/who-will-win-the-game-of-thrones-fbde8434c94b
Data visualization tool, had a little fun visualizing the probability of each main character ending up on the Iron Throne, calculated using the latest odds published on the betting site Bovada.
https://towardsdatascience.com/who-will-win-the-game-of-thrones-fbde8434c94b
Medium
Who Will Win the Game of Thrones?
The final season of Game of Thrones is finally here and the question on everyone’s mind is: Who will end up on the Iron Throne?
A Gentle Introduction to Channels First and Channels Last Image Formats for Deep Learning
https://machinelearningmastery.com/a-gentle-introduction-to-channels-first-and-channels-last-image-formats-for-deep-learning/
https://machinelearningmastery.com/a-gentle-introduction-to-channels-first-and-channels-last-image-formats-for-deep-learning/
New Google Brain Optimizer Reduces BERT Pre-Training Time From Days to Minutes
https://medium.com/syncedreview/new-google-brain-optimizer-reduces-bert-pre-training-time-from-days-to-minutes-b454e54eda1d
https://medium.com/syncedreview/new-google-brain-optimizer-reduces-bert-pre-training-time-from-days-to-minutes-b454e54eda1d
Medium
New Google Brain Optimizer Reduces BERT Pre-Training Time From Days to Minutes
Google Brain researchers have proposed LAMB (Layer-wise Adaptive Moments optimizer for Batch training), a new optimizer which reduces…
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 19 – Bias in AI
https://www.youtube.com/watch?v=XR8YSRcuVLE
https://www.youtube.com/watch?v=XR8YSRcuVLE
YouTube
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 19 – Bias in AI
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3wFLTVF
Professor Christopher Manning, Stanford University & Margaret Mitchell, Google AI
http://onlinehub.stanford.edu/
Professor…
Professor Christopher Manning, Stanford University & Margaret Mitchell, Google AI
http://onlinehub.stanford.edu/
Professor…
Deep Reinforcement Learning with TensorFlow 2.0
http://inoryy.com/post/tensorflow2-deep-reinforcement-learning/
http://inoryy.com/post/tensorflow2-deep-reinforcement-learning/
Roman Ring
Deep Reinforcement Learning With TensorFlow 2.1 | Roman Ring
In this tutorial, I will give an overview of the TensorFlow 2.x features through the lens of deep reinforcement learning (DRL)
by implementing an advantage actor-critic (A2C) agent, solving the classic CartPole-v0 environment.
While the goal is to showcase…
by implementing an advantage actor-critic (A2C) agent, solving the classic CartPole-v0 environment.
While the goal is to showcase…
Introduction to Tensorflow 2.0 | Tensorflow 2.0 Features and Changes
https://www.youtube.com/watch?v=3O-5DuqKaRo
https://www.youtube.com/watch?v=3O-5DuqKaRo
How to Load and Visualize Standard Computer Vision Datasets With Keras
https://machinelearningmastery.com/how-to-load-and-visualize-standard-computer-vision-datasets-with-keras/
https://machinelearningmastery.com/how-to-load-and-visualize-standard-computer-vision-datasets-with-keras/
MachineLearningMastery.com
How to Load and Visualize Standard Computer Vision Datasets With Keras - MachineLearningMastery.com
It can be convenient to use a standard computer vision dataset when getting started with deep learning methods for computer vision.
Standard datasets are often well understood, small, and easy to load. They can provide the basis for testing techniques…
Standard datasets are often well understood, small, and easy to load. They can provide the basis for testing techniques…