I want the solution in Python language

This lab is about Deep Learning. You will download the main frameworks and learn how to use them by running examples provided. a) Clone and enter the repository with the examples. git clone https://github. com/cmranieri/dl_tutorial cd dl_tutorial b) Please check the results of every experiment in the following sections. Part 3: a) Check the code from lstm_text_generation.py and run it. b) Change the length of the inputs to 80 characters. c) Change the length back to its original size and load the previously trained model, with the following syntax: model.load_weights ('model_lstm_text.h5') d) Train the same network for 50 epochs with Isaac Asimov's tale "The Last Question", available at the_last_question.txt. For the sake of time, remove the callback parameter from the model. fit (...) function and add a call to on_epoch_end (0,0) at the end of the program, so that you can check text generated by the model. This lab is about Deep Learning. You will download the main frameworks and learn how to use them by running examples provided. a) Clone and enter the repository with the examples. git clone https://github. com/cmranieri/dl_tutorial cd dl_tutorial b) Please check the results of every experiment in the following sections. Part 3: a) Check the code from lstm_text_generation.py and run it. b) Change the length of the inputs to 80 characters. c) Change the length back to its original size and load the previously trained model, with the following syntax: model.load_weights ('model_lstm_text.h5') d) Train the same network for 50 epochs with Isaac Asimov's tale "The Last Question", available at the_last_question.txt. For the sake of time, remove the callback parameter from the model. fit (...) function and add a call to on_epoch_end (0,0) at the end of the program, so that you can check text generated by the model