Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: M

The video tutorial guides viewers through the process of setting up, compiling, and fitting a machine learning model. It begins with initializing the model and specifying the optimizer and loss function. The structure of the model is then detailed, highlighting various layers. The tutorial proceeds to demonstrate the fitting process using training and validation data, specifying batch size and epochs. Finally, the video covers evaluating the model's accuracy and visualizing the results using Matplotlib.

What is the next step after running the model as mentioned in the text?

What library is mentioned for visualizing the train and test data?

What does the similarity between test accuracy and train accuracy indicate about the model?