Types Of Artificial Intelligence | Artificial Intelligence Explained | What is AI?
https://www.youtube.com/watch?v=y5swZ2Q_lBw
https://www.youtube.com/watch?v=y5swZ2Q_lBw
YouTube
Types Of Artificial Intelligence | Artificial Intelligence Explained | What is AI? | Edureka
🔥Post Graduate Program in Generative AI and ML: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters-program/generative-ai-prompt-engineering…
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters-program/generative-ai-prompt-engineering…
Learning Latent Dynamics for Planning from Pixels
Hafner et al.: https://planetrl.github.io/
Hafner et al.: https://planetrl.github.io/
PlaNet solves control tasks from pixels by planning in latent space.
Learning Latent Dynamics for Planning from Pixels
Learning Representations by Maximizing Mutual Information Across Views
Article: https://arxiv.org/abs/1906.00910
Code:
https://github.com/Philip-Bachman/amdim-public
Article: https://arxiv.org/abs/1906.00910
Code:
https://github.com/Philip-Bachman/amdim-public
arXiv.org
Learning Representations by Maximizing Mutual Information Across Views
We propose an approach to self-supervised representation learning based on maximizing mutual information between features extracted from multiple views of a shared context. For example, one could...
ARTIFICIAL INTELLIGENCE 101
AI 101 CheatSheet: http://www.montreal.ai/ai4all.pdf
Code: https://montrealartificialintelligence.com/academy/#Curated-Open-Source-Codes-Implementations-and-Science
AI 101 CheatSheet: http://www.montreal.ai/ai4all.pdf
Code: https://montrealartificialintelligence.com/academy/#Curated-Open-Source-Codes-Implementations-and-Science
MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review
http://news.mit.edu/2019/mit-press-harvard-data-science-initiative-launch-harvard-data-science-review-0715
http://news.mit.edu/2019/mit-press-harvard-data-science-initiative-launch-harvard-data-science-review-0715
MIT News
MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review
MIT Press and the Harvard Data Science Initiative have launched the Harvard Data Science Review. An open-access journal published by MIT Press and hosted online via the PubPub platform, HDSR will feature leading global thinkers in the field of data science.
Introduction to Reinforcement Learning : Markov-Decision Process
https://towardsdatascience.com/introduction-to-reinforcement-learning-markov-decision-process-44c533ebf8da
https://towardsdatascience.com/introduction-to-reinforcement-learning-markov-decision-process-44c533ebf8da
Medium
Reinforcement Learning : Markov-Decision Process (Part 1)
In a typical Reinforcement Learning (RL) problem, there is a learner and a decision maker called agent and the surrounding with which it…
Microsoft makes it easier to build popular language representation model BERT at large scale
https://azure.microsoft.com/en-us/blog/microsoft-makes-it-easier-to-build-popular-language-representation-model-bert-at-large-scale/
https://azure.microsoft.com/en-us/blog/microsoft-makes-it-easier-to-build-popular-language-representation-model-bert-at-large-scale/
Microsoft Azure Blog
Microsoft makes it easier to build popular language representation model BERT at large scale | Microsoft Azure Blog
Today we are announcing the open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning, so that customers can unlock the power of training…
This paper investigates various machine learning trading and portfolio optimisation models and techniques.
https://github.com/firmai/machine-learning-asset-management
https://github.com/firmai/machine-learning-asset-management
GitHub
GitHub - firmai/machine-learning-asset-management: Machine Learning in Asset Management (by @firmai)
Machine Learning in Asset Management (by @firmai). Contribute to firmai/machine-learning-asset-management development by creating an account on GitHub.
Divide and Conquer the Embedding Space for Metric Learning
Simple and efficient approach for metric learning.
Code: https://github.com/CompVis/metric-learning-divide-and-conquer
Article: https://arxiv.org/pdf/1906.05990.pdf
Simple and efficient approach for metric learning.
Code: https://github.com/CompVis/metric-learning-divide-and-conquer
Article: https://arxiv.org/pdf/1906.05990.pdf
GitHub
GitHub - CompVis/metric-learning-divide-and-conquer: Source code for the paper "Divide and Conquer the Embedding Space for Metric…
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019 - CompVis/metric-learning-divide-and-conquer
AI Discovers Sentiment By Writing Amazon Reviews
https://www.youtube.com/watch?v=hYWr67i8z5o&feature=youtu.be
https://www.youtube.com/watch?v=hYWr67i8z5o&feature=youtu.be
YouTube
AI Discovers Sentiment By Writing Amazon Reviews
❤️ Support the show on Patreon: https://www.patreon.com/TwoMinutePapers ₿ Crypto and PayPal links are available below. Thank you very much for your generous ...
OmniNet: A unified architecture for multi-modal multi-task learning
https://github.com/subho406/OmniNet
https://github.com/subho406/OmniNet
GitHub
GitHub - subho406/OmniNet: Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning"…
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain - GitHub - ...
Learning Better Simulation Methods for Partial Differential Equations
http://ai.googleblog.com/2019/07/learning-better-simulation-methods-for.html
http://ai.googleblog.com/2019/07/learning-better-simulation-methods-for.html
Googleblog
Learning Better Simulation Methods for Partial Differential Equations
An Introduction to Recurrent Neural Networks for Beginners
https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd
https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd
Medium
An Introduction to Recurrent Neural Networks for Beginners
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
MintNet: Building Invertible Neural Networks with Masked Convolutions
https://arxiv.org/abs/1907.07945
https://arxiv.org/abs/1907.07945
arXiv.org
MintNet: Building Invertible Neural Networks with Masked Convolutions
We propose a new way of constructing invertible neural networks by combining simple building blocks with a novel set of composition rules. This leads to a rich set of invertible architectures,...
ArchiGAN: a Generative Stack for Apartment Building Design
https://devblogs.nvidia.com/archigan-generative-stack-apartment-building-design/
https://devblogs.nvidia.com/archigan-generative-stack-apartment-building-design/
NVIDIA Technical Blog
ArchiGAN: a Generative Stack for Apartment Building Design
This post decribes ArchiGAN, an adversarial deep learning network based on Pix2Pix to generate apartment and building floorplans.