Padam: Closing the Generalization gap of adaptive gradient methods in training deep neural networks
https://github.com/yashkant/Padam-Tensorflow
https://github.com/yashkant/Padam-Tensorflow
GitHub
GitHub - yashkant/padam-tensorflow: Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In…
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge - yashkant/...
Deep Reinforcement Learning Algorithms with PyTorch
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
GitHub
GitHub - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch: PyTorch implementations of deep reinforcement learning algorithms…
PyTorch implementations of deep reinforcement learning algorithms and environments - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation
https://medium.com/syncedreview/auto-deeplab-fei-fei-li-alan-yuille-on-semantic-image-segmentation-f2f2ab9795d5
https://medium.com/syncedreview/auto-deeplab-fei-fei-li-alan-yuille-on-semantic-image-segmentation-f2f2ab9795d5
Medium
Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation
A cooperative research group from Google, Stanford, and Johns Hopkins has proposed “Auto-DeepLab,” a new method which utilizes…
Soft Actor-Critic: Deep Reinforcement Learning for Robotics
https://ai.googleblog.com/2019/01/soft-actor-critic-deep-reinforcement.html
https://ai.googleblog.com/2019/01/soft-actor-critic-deep-reinforcement.html
research.google
Soft Actor-Critic: Deep Reinforcement Learning for Robotics
Posted by Tuomas Haarnoja, Student Researcher and Sergey Levine, Faculty Advisor, Robotics at Google Deep reinforcement learning (RL) provides the ...
How to do Deep Learning on Graphs with Graph Convolutional Networks
https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-62acf5b143d0
https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-62acf5b143d0
Medium
How to do Deep Learning on Graphs with Graph Convolutional Networks
Part 2: Semi-Supervised Learning with Spectral Graph Convolutions
Bayesian Neural Network Series
Post 1: Need for Bayesian Neural Networks
https://medium.com/neuralspace/bayesian-neural-network-series-post-1-need-for-bayesian-networks-e209e66b70b2
Post 2: Background Knowledge
https://medium.com/neuralspace/bayesian-neural-network-series-post-2-background-knowledge-fdec6ac62d43
Post 1: Need for Bayesian Neural Networks
https://medium.com/neuralspace/bayesian-neural-network-series-post-1-need-for-bayesian-networks-e209e66b70b2
Post 2: Background Knowledge
https://medium.com/neuralspace/bayesian-neural-network-series-post-2-background-knowledge-fdec6ac62d43
Medium
Bayesian Neural Network Series Post 1: Need for Bayesian Neural Networks
This post is the first post in an eight-post series of Bayesian Convolutional Networks. The posts will be structured as follows:
Forwarded from Artificial Intelligence
Summarized 14 NLP Research Breakthroughs You Can Apply To Your Business
https://www.topbots.com/most-important-ai-nlp-research
https://www.topbots.com/most-important-ai-nlp-research
TOPBOTS
14 NLP Research Breakthroughs You Can Apply To Your Business
UPDATE: We’ve also summarized the top 2019 and top 2020 NLP research papers. Language understanding is a challenge for computers. Subtle nuances of communication that human toddlers can understand still confuse the most powerful machines. Even though advanced…
Forwarded from Artificial Intelligence
YouTube
What Makes a Good Image Generator AI?
Three paper recommendations this time:
- Inception score - "Improved Techniques for Training GANs" - https://arxiv.org/abs/1606.03498
- "Progressive Growing of GANs for Improved Quality" - https://arxiv.org/abs/1710.10196
- Inception score criticism - "A…
- Inception score - "Improved Techniques for Training GANs" - https://arxiv.org/abs/1606.03498
- "Progressive Growing of GANs for Improved Quality" - https://arxiv.org/abs/1710.10196
- Inception score criticism - "A…
Fitting a Neural Network Using Randomized Optimization in Python
https://medium.com/@gkhayes/fitting-a-neural-network-using-randomized-optimization-in-python-71595de4ad2d
https://medium.com/@gkhayes/fitting-a-neural-network-using-randomized-optimization-in-python-71595de4ad2d
Towards Data Science
Fitting a Neural Network Using Randomized Optimization in Python
How randomized optimization can be used to find the optimal weights for machine learning models, such as neural networks and regression…
Google Researchers Have a New Alternative to Traditional Neural Networks
Say hello to the capsule network.
https://www.technologyreview.com/the-download/609297/google-researchers-have-a-new-alternative-to-traditional-neural-networks/
Say hello to the capsule network.
https://www.technologyreview.com/the-download/609297/google-researchers-have-a-new-alternative-to-traditional-neural-networks/
MIT Technology Review
Google Researchers Have a New Alternative to Traditional Neural Networks
Say hello to the capsule network. AI has enjoyed huge growth in the past few years, and much of that success is owed to deep neural networks, which provide the smarts behind impressive tricks like image recognition. But there is growing concern that some…
Lessons Learned from Kaggle’s Airbus Challenge
https://medium.com/@YassineAlouini/lessons-learned-from-kaggles-airbus-challenge-252e25c5efac?source=topic_page---------19------------------1
https://medium.com/@YassineAlouini/lessons-learned-from-kaggles-airbus-challenge-252e25c5efac?source=topic_page---------19------------------1
Medium
Lessons Learned from Kaggle’s Airbus Challenge.
Over the last three months, I have participated in the Airbus Ship Detection Kaggle challenge. As evident from the title, it is a…
Forwarded from Artificial Intelligence
Хабр
Другой GitHub: репозитории по Data Science, визуализации данных и глубокому обучению
(с) Гитхаб — это не просто площадка для хостинга и совместной разработки IT-проектов, но и огромная база знаний, составленная сотнями экспертов. К счастью, сервис предоставляет не просто...
How to build an image classifier with greater than 97% accuracy
https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55
https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55
freeCodeCamp.org
How to build an image classifier with greater than 97% accuracy
By Anne Bonner A clear and complete blueprint for success How do you teach a computer to look at an image and correctly identify it as a flower? How do you teach a computer to see an image of a flower and then tell you exactly what species of flower...