Forwarded from Python/ django
Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
https://www.youtube.com/watch?v=uOMhboAnVNk
https://www.youtube.com/watch?v=uOMhboAnVNk
YouTube
1.3: Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
An introduction to Anaconda Python for deep learning with Keras and TensorFlow. An introduction is provided for vectors, dictionaries, and other Python language elements. This course is taught in a hybrid format at Washington University in St. Louis; however…
What a text recognition system actually sees
https://towardsdatascience.com/what-a-text-recognition-system-actually-sees-6c04864b8a98
https://towardsdatascience.com/what-a-text-recognition-system-actually-sees-6c04864b8a98
Conference on Empirical Methods on Natural Language Processing
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
Medium
EMNLP’18: Cookie Monsters, Blackboxes, and Document-Level NMT
This year, a total of 10 Unbabel AI researchers descended upon Brussels to attend the Conference on Empirical Methods on Natural Language…
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
Medium
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
Implementing Deep Neuroevolution in PyTorch to evolve an agent for CartPole [code + tutorial]
Using the latest advancements in deep learning to predict stock price movements
https://medium.com/@borisborev/aifortrading-2edd6fac689d
https://medium.com/@borisborev/aifortrading-2edd6fac689d
Medium
Using the latest advancements in deep learning to predict stock price movements
Link to the complete notebook: https://github.com/borisbanushev/stockpredictionai
University of California, Berkeley full course 2018
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
Forwarded from Python/ django
Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python
https://www.youtube.com/watch?v=LzaWrmKL1Z4
https://www.youtube.com/watch?v=LzaWrmKL1Z4
YouTube
Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
In this video on “Reinforcement Learning Tutorial” you will get an in-depth understanding about how reinforcement…
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
In this video on “Reinforcement Learning Tutorial” you will get an in-depth understanding about how reinforcement…
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…