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Deep Learning VM Images

Imagine if you could avoid the headache of setting up new libraries, configuring them, and making sure they are all compatible. In this episode of AI Adventures, Yufeng shows you how to take advantage of deep learning VM images on Google Compute Engine to make setting up new environments a piece of cake.  

Getting Started with TensorFlow.js

TensorFlow.js is an ecosystem of JavaScript based tools for training and deploying machine learning models. In this episode of AI Adventures, learn all about getting started with Tensorflow.js through tutorials like training a convolutional neural network in your browser and building a Pac-Man game that’s played with data from your webcam! This is only a beginning… stay tuned for deep dives on TensorFlow.js coming soon!  

Scaling up Keras with Estimators (AI Adventures)

When you convert a Keras model to a TensorFlow Estimator, you get the best of both worlds: easy to read Keras model syntax along with distributed training with TensorFlow. In this episode of AI Adventures, Yufeng shows you how to scale up a Keras model with estimators so that it can run larger datasets or across many machines. Plus, it makes it easy to do model serving once the training is complete!  

Getting Started with Keras (AI Adventures)

Getting started with Keras has never been easier! Not only is it built into TensorFlow, but when you combine it with Kaggle Kernels you don’t have to install anything! Plus you get to take advantage of the resources from the Kaggle community. In this episode of AI Adventures, Yufeng shows you how to get started with Keras. Take a look!  

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