TensorFlow on Android
Siraj Raval shows us how to run TensorFlow on an Android device, great for offline AI scenarios.
Tagged: TensorFlow
How to Deploy a TensorFlow Model to Production
Siraj Raval shows how to deploy a trained TensorFlow model to production.
NVIDIA Unveils GPU-Accelerated AI Cloud Platform for Deep Learning
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.
Effective TensorFlow for Non-Experts
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...
TensorFlow and Deep Learning without a PhD in Two Parts
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 Networks for Style Transfer
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.
How to Use Tensorboard
Siraj Raval does this hour long tutorial on how to use TensorBoard live on YouTube.
What’s a Tensor?
You’ve likely heard of TensorFlow, but didn’t think much of the name beyond, “must be a marketing thing.” It turns out that tensors are a mathematical object similar vectors. Watch the video for an explanation with ordinary household objects.
How to Use Tensorflow for Seq2seq Models
Siraj Raval does a live stream demonstrating the architecture of a Seq2Seq models in TensorFlow.
TensorFlow in Medicine – Retinal Imaging
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.
