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Summary

In this video we'll highlight the main points of the This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... The way the response selector is implemented in Text translation is hard, especially when you've only gotten a small amount of data to work with. But still ... we may be interested in ... It turns out that you can drop a lot of weights from your neural network without seeing a drastic effect on accuracy. In this video ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. We're starting a new playlist! Introducing the This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... When you iterate on your data, you also want to iterate on your model. It'd be a shame to have to retrain from scratch every single ... In this video, we will explore pre-trained spaCy models and use them to detect names. These pre-trained models are great, but ... The Universal Sentence Encoder is an embedding for sentences as opposed to words. There are a few interesting tricks that are ... When you're making a digital assistant you'll need more than just In this video we'd to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... Typos are a common issue for NLU models. There are some tweaks you might do to your pipeline to combat them, but maybe it ...