Visual Transfer Learning for Robotic Manipulation
https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html
Video: https://www.youtube.com/watch?v=7tFO2V0sYJg&feature=emb_logo
https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html
Video: https://www.youtube.com/watch?v=7tFO2V0sYJg&feature=emb_logo
Google AI Blog
Visual Transfer Learning for Robotic Manipulation
Posted by Yen-Chen Lin, Research Intern and Andy Zeng, Research Scientist, Robotics at Google The idea that robots can learn to directl...
Semantic Pyramid for Image Generation
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
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Massively Scaling Reinforcement Learning with SEED RL
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
An AI program that plays Flappy Bird using reinforcement learning.
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
GitHub
GitHub - taivu1998/FlapAI-Bird: An AI program that plays Flappy Bird using reinforcement learning.
An AI program that plays Flappy Bird using reinforcement learning. - taivu1998/FlapAI-Bird
How to Develop Multi-Output Regression Models with Python
https://machinelearningmastery.com/multi-output-regression-models-with-python/
https://machinelearningmastery.com/multi-output-regression-models-with-python/
Anomaly detection with Keras, TensorFlow, and Deep Learning
https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
https://www.pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/
PyImageSearch
Anomaly detection with Keras, TensorFlow, and Deep Learning - PyImageSearch
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
Github: https://github.com/Cold-Winter/BachGAN
Paper: https://arxiv.org/abs/2003.11690v1
Github: https://github.com/Cold-Winter/BachGAN
Paper: https://arxiv.org/abs/2003.11690v1
How to Calculate Feature Importance With Python
https://machinelearningmastery.com/calculate-feature-importance-with-python/
https://machinelearningmastery.com/calculate-feature-importance-with-python/
An Illustrated Guide to Graph Neural Networks
https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783
https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783
Medium
An Illustrated Guide to Graph Neural Networks
A breakdown of the inner workings of GNNs…
Gradient Boosting with Scikit-Learn, XGBoost, LightGBM, and CatBoost
https://machinelearningmastery.com/gradient-boosting-with-scikit-learn-xgboost-lightgbm-and-catboost/
https://machinelearningmastery.com/gradient-boosting-with-scikit-learn-xgboost-lightgbm-and-catboost/
Train transformer language models with reinforcement learning.
https://lvwerra.github.io/trl/
Code: https://github.com/openai/lm-human-preferences
Paper: https://arxiv.org/pdf/1909.08593.pdf
https://lvwerra.github.io/trl/
Code: https://github.com/openai/lm-human-preferences
Paper: https://arxiv.org/pdf/1909.08593.pdf
Announcing the 2020 Image Matching Benchmark and Challenge
https://ai.googleblog.com/2020/04/announcing-2020-image-matching.html
https://ai.googleblog.com/2020/04/announcing-2020-image-matching.html
research.google
Announcing the 2020 Image Matching Benchmark and Challenge
Posted by Eduard Trulls, Research Scientist, Google Maps Reconstructing 3D objects and buildings from a series of images is a well-known problem ...
Exploring Nature-Inspired Robot Agility
http://ai.googleblog.com/2020/04/exploring-nature-inspired-robot-agility.html
http://ai.googleblog.com/2020/04/exploring-nature-inspired-robot-agility.html
Googleblog
Exploring Nature-Inspired Robot Agility
Unsupervised Progressive Learning (UPL): A new problem for AI
https://medium.com/dair-ai/unsupervised-progressive-learning-upl-a-new-problem-for-ai-9a1c68c70a28
https://medium.com/dair-ai/unsupervised-progressive-learning-upl-a-new-problem-for-ai-9a1c68c70a28
Medium
Unsupervised Progressive Learning (UPL): A new problem for AI
The Unsupervised Progressive Learning (UPL) problem can be defined as a problem of learning from a stream of data that has any number of…
Gradient-Centralization: A New Optimization Technique for Deep Neural Networks
Code: https://github.com/Yonghongwei/Gradient-Centralization
Paper: https://arxiv.org/abs/2004.01461
Code: https://github.com/Yonghongwei/Gradient-Centralization
Paper: https://arxiv.org/abs/2004.01461
4 Types of Classification Tasks in Machine Learning
https://machinelearningmastery.com/types-of-classification-in-machine-learning/
https://machinelearningmastery.com/types-of-classification-in-machine-learning/
Quantization Aware Training with TensorFlow Model Optimization Toolkit - Performance with Accuracy
https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html
Video: https://www.youtube.com/watch?time_continue=457&v=2tnWHCxP8Bk&feature=emb_logo
Code example: https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide#experiment_with_quantization
https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html
Video: https://www.youtube.com/watch?time_continue=457&v=2tnWHCxP8Bk&feature=emb_logo
Code example: https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide#experiment_with_quantization
Stacking Ensemble Machine Learning With Python - Machine Learning Mastery
https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/
https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/