AutonomousDrivingCookbook/AirSimE2EDeepLearning at master · Microsoft/Auton
Scenarios, tutorials and demos for Autonomous Driving - microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving - microsoft/AutonomousDrivingCookbook
Engineering at Forward | UCLA CS '19

Google did its best to impress this week at its annual IO conference. While Google rolled out a bunch of benchmarks that were run on its current Cloud TPU

LightTag, a newly launched startup from a former NLP researcher at Citi, has built a "text annotation platform" designed to assist data scientists who

Google's new TPUs are here -- and they're quite a bit faster than last year's model.

Running large deep learning processes on Amazon Web Services EC2 is a cheap and effective way to learn and develop models. For just a few dollars you can get access to tens of gigabytes of RAM, tens of CPU cores, and multiple GPUs. I highly recommend it. If you are new to EC2 or…

Baidu this Thursday announced the release of ApolloScape, billed as the world’s largest open-source dataset for autonomous driving…

China's tech titan Baidu just upgraded Deep Voice. The voice-cloning AI now works faster than ever and can swap a speaker's gender or change their accent.

Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more.

Dive into our detailed explanation of what is Region of Interest (RoI) Pooling in deep learning. Enhance your skills. Discover more now!

There were many advances in Deep Learning and AI in 2017, but few generated as much publicity and interest as DeepMind’s AlphaGo Zero. This…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! - floodsung/Deep-Learning-Papers-Reading-Roadmap

They can really help you
How and why do different Deep Learning models work? We provide an intuitive explanation for 3 very popular DL models: Resnet, Inception, and Xception.

The Long Short-Term Memory recurrent neural network was developed for sequence prediction. In addition to sequence prediction problems. LSTMs can also be used as a generative model In this post, you will discover how LSTMs can be used as generative models. After completing this…

Exploding gradients are a problem where large error gradients accumulate and result in very large updates to neural network model weights during training. This has the effect of your model being unstable and unable to learn from your training data. In this post, you will…
Emil Mikhailov is the founder of XIX.ai [http://XIX.ai] (YC W17). Roman Trusov is a researcher at XIX.ai. Recent studies by Google Brain have shown that any machine learning classifier can be tricked to give incorrect predictions, and with a little bit of skill, you can get them…
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. - wiseodd/generative-models
The most cited deep learning papers.

In this article, I'll take you through a list of guided projects to master AI & ML with Python. AI & ML Projects with Python.