Using ML to classify T-shirts, sandals, and ankle boots? Oh my! In this episode of Coding TensorFlow, Magnus Hyttsten shows you how to train a deep neural network model to classify images of clothing. We are going to use a dataset you may be familiar with called the Fashion MNIST. Through Colab, we will execute the code directly from the browser. Get started with machine learning and TensorFlow with this screencast of Coding TensorFlow, and subscribe to stay up-to-date with all of our latest tutorials!
Published on August 22, 2018 by Carlo LepelaarsCategory AI Machine Learning Tensorflow Tag A.I. (Artificial Intelligence) Colab Fashion MNIST Image Recognition Machine Learning Magnus Hyttsten Short Tensorflow
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