Rasa Algorithm Whiteboard Response Selection Implementation

Summary

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 ... This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... The Universal Sentence Encoder is an embedding for sentences as opposed to words. There are a few interesting tricks that are ... 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'll explore how TED works in practice. We'll build a digital assistant that needs to count down and we'll see that the ... Instead of debugging a model, it might be *much* more effective to consider debugging your data. In this video, we'll discuss ... 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 ... When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a fallback ... What might an assistant do if it sees a text from a language that it isn't trained on? It might make assumptions because it's unlike ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... Countvectors are still an unsung hero in natural language processing. This is especially true in