NVIDIA CEO and founder Jensen Huang introduces the NVIDIA GPU Cloud platform to jump-start GPU-accelerated deep learning. In this keynote, he announces the inferencing compiler TensorRT for the TensorFlow deep learning framework and unveils the Tesla V100 for hyperscale inferencing.
Here’s an interesting talk fresh from Google I/O 2017 about using TensorFlow for non-experts. TensorFlow offers high level interfaces like Keras and Estimators, which can be used without being an AI or machine learning expert. Watch this talk to learn how to implement complex machine learning models and deploy them...
I’ve blogged about this talk before, but I thought you’d enjoy an updated and expanded version from Google Cloud Next ’17. TensorFlow and Deep Learning without a PhD Part 1 TensorFlow and Deep Learning without a PhD Part 2
Generative Adversarial Nets are such a rich topic for exploration and Siraj Raval will take you there. Live and only the style that he can deliver.
Diabetic retinopathy is the fastest growing cause of blindness. Lily Peng describes how TensorFlow was trained to analyze retinal fundus images to diagnose this condition. In the video below, she describes the project steps: from acquiring a dataset, training a deep network, and evaluating of the results.