Browsing: AI & Machine Learning

Last week I had the opportunity to attend at the TCE annual conference. It was themed around both theoretical and…

Training deep neural networks usually boils down to defining your model’s architecture and a loss function, and watching the gradients…

This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. As deep neural networks (DNN) become more powerful,…

This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. Understanding what a model doesn’t know is important…

This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. Now that we know what uncertainty types exist…

This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. In the first post of the series we…

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Imagine you’re walking down the street and you see a nice car you’re thinking of buying. Just by pointing your…

So you just finished designing that great neural network architecture of yours. It has a blazing number of 300 fully…

The model is composed of three sub-networks: Given $x$ (image), encode it into a distribution over the latent space -…