A state-of-the-art, self-supervised framework for video understanding
https://ai.facebook.com/blog/a-state-of-the-art-self-supervised-framework-for-video-understanding/
https://ai.facebook.com/blog/a-state-of-the-art-self-supervised-framework-for-video-understanding/
Meta
A state-of-the-art, self-supervised framework for video understanding
Generalized Data Transformations give us a systematic way of robustly learning the relationship between audio and visual information in order to learn about the structure of the world.
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
Gitgub: https://github.com/cswluo/SEF
Paper: https://arxiv.org/abs/2006.13457v1
Gitgub: https://github.com/cswluo/SEF
Paper: https://arxiv.org/abs/2006.13457v1
Building AI Trading Systems
Lessons learned building a profitable algorithmic trading system using Reinforcement Learning techniques.
https://dennybritz.com/blog/ai-trading/
Lessons learned building a profitable algorithmic trading system using Reinforcement Learning techniques.
https://dennybritz.com/blog/ai-trading/
Tensor Programs II: Neural Tangent Kernel for Any Architecture
which shows the tangent kernel of any randomly initialized neural network converges in the large width limit.
Github: https://github.com/thegregyang/NTK4A
Paper: https://arxiv.org/abs/2006.14548
which shows the tangent kernel of any randomly initialized neural network converges in the large width limit.
Github: https://github.com/thegregyang/NTK4A
Paper: https://arxiv.org/abs/2006.14548
8 Top Books on Data Cleaning and Feature Engineering
https://machinelearningmastery.com/books-on-data-cleaning-data-preparation-and-feature-engineering/
https://machinelearningmastery.com/books-on-data-cleaning-data-preparation-and-feature-engineering/
Announcing CUDA on Windows Subsystem for Linux 2
https://developer.nvidia.com/blog/announcing-cuda-on-windows-subsystem-for-linux-2/
https://developer.nvidia.com/blog/announcing-cuda-on-windows-subsystem-for-linux-2/
NVIDIA Technical Blog
Announcing CUDA on Windows Subsystem for Linux 2
In response to popular demand, Microsoft announced a new feature of the Windows Subsystem for Linux 2 (WSL 2)—GPU acceleration—at the Build conference in May 2020. This feature opens the gate for many…
Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A step-by-step guide
https://www.kdnuggets.com/2020/07/generating-cooking-recipes-using-tensorflow.html
https://www.kdnuggets.com/2020/07/generating-cooking-recipes-using-tensorflow.html
KDnuggets
Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A step-by-step guide - KDnuggets
A character-level LSTM (Long short-term memory) RNN (Recurrent Neural Network) is trained on ~100k recipes dataset using TensorFlow. The model suggested the recipes "Cream Soda with Onions", "Puff Pastry Strawberry Soup", "Zucchini flavor Tea", and "Salmon…
How to Use Feature Extraction on Tabular Data for Machine Learning - Machine Learning Mastery
https://machinelearningmastery.com/feature-extraction-on-tabular-data/
https://machinelearningmastery.com/feature-extraction-on-tabular-data/
Constructing a 3D Face Mesh from Face Landmarks in Real-Time with TensorFlow.js and Plot.js
https://heartbeat.fritz.ai/constructing-a-3d-face-mesh-from-face-landmarks-in-real-time-with-tensorflow-js-and-plot-js-62b177abcf9f
https://heartbeat.fritz.ai/constructing-a-3d-face-mesh-from-face-landmarks-in-real-time-with-tensorflow-js-and-plot-js-62b177abcf9f
Fritz ai
Constructing a 3D Face Mesh from Face Landmarks in Real-Time with TensorFlow.js and Plot.js - Fritz ai
TensorFlow.js is a very powerful library when it comes to using deep learning models directly in the browser. It includes support for a wide range of functions, covering basic machine learning, deep learning, and even model deployment. Another important feature……
Wavelet Networks: Scale Equivariant Learning From Raw Waveforms
Github: https://github.com/dwromero/wavelet_networks
Paper: https://arxiv.org/abs/2006.05259
Github: https://github.com/dwromero/wavelet_networks
Paper: https://arxiv.org/abs/2006.05259
Duality — A New Approach to Reinforcement Learning
https://ai.googleblog.com/2020/07/duality-new-approach-to-reinforcement.html
https://ai.googleblog.com/2020/07/duality-new-approach-to-reinforcement.html
Google Research
Duality — A New Approach to Reinforcement Learning
Posted by Ofir Nachum and Bo Dai, Research Scientists, Google Research Reinforcement learning (RL) is an approach commonly used to train agents t...
One Policy to Control Them All:
Shared Modular Policies for Agent-Agnostic Control
https://wenlong.page/modular-rl/
Shared Modular Policies for Agent-Agnostic Control
https://wenlong.page/modular-rl/