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Question 1. Write short notes on Truncated Backpropagation Through Time (TBPTT)? Compare the working of TBPTT and BPTT.
Question 2. Check the code described in LSTM.ipynb performs the classification for the imdb dataset. You need to perform an ablation study on how the "input_shape" affects the accuracy.
Consider the following different input_shape: [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000]. Report the accuracy values with the justification.
Please note that project should be prepared in strict compliance of instructions. Please ensure that all answers should be correct and must be supported with proper explanation. Please mind that no discrepancy is permitted. The solution should be unique as supported by plagiarism report . It is deep learning assignment but since the code in LSTM.ipynb is written in python, I put it in python assignment. You have to answer all questions and no programming is required, so please charge reasonably. Also please consider that I am your regular customer and in past one month I have ordered 3 assignments. considering our good relations and the trust that I have on you, kindly offer me a reasonable price.
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Improve the readability and structural design of the code by improving the function names, variables, and loops, as well as whitespace. Move functions close to related functions or blocks of code related to your organised code.
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