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I hope you have seen my previous video on what is BERT in this video explain how BERT works the fundamentals of it in todays video we are going to do email classification whether its a spam or non-spam using BERT now BERT will convert an email sentence you know the the whole email into an embedding vector. So we saw in a previous video that the purpose of BERT is to generate if is embedding vector for the entire sentence and that is something that we can feed into our neural network and do the training. So here we will generate a vector of 768 length y 768 we have covered that in a previous video and then we will supply that to a very simple neural network with only one dense layer, one neuron in the dense layer as an output will also put a dropout layer in between just to tackle the overfitting. Now if you open this BERT box by the way it has two components pre-processing and encoding and we talked about that in a previous video as well so previous video watching that is quite a pr
