In this tutorial, we’ll discuss word embeddings with CBOW and Skip-Gram.
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Loss and accuracy are essential values to take into account when training models. Let’s take a closer look at their meaning.
A quick and practical overview of batch normalization in convolutional neural networks.
Explore three different ways to measure forecast accuracy and how to apply them.
Learn about a useful classification metric, Top-N Accuracy.