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so to begin with, this is a project I am helping my school with to gain experience. I have taken plenty of courses which helped me build this codes foundation. The data is from a chat bot which provides the chat text, ANGRY labels and HAPPY labels which were going to feed into the model. Next up is the data preprocessing which includes splitting the data 80/20 for training and evaluation. The I preprocess the text by removing special characters, spaces, stop words, and tokenizing text like so: Next up I build the vocab list like so: Then create padded tensors for each sentence: Afterwards create the data generator that we can apply to training and evaluation. I then start to create the layers by forward propagation from one layer to the next neighing with a relu activation function Defining the Dense Layer: The next step we will define our model by using Trax and combining all our layers! I have created training and evaluation loops that will help us understand how our model is performing Next up we will check out the models accuracy, I know its pretty low but currently a learning student looking to improve and excited on some feedback to help improve this model.
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