1. Open Goodgle Colab. Then, complete the tutorial at ‘TensorFlow 2 quickstart for beginners’ by doing following: 1. Load a prebuilt dataset. 2. Build a neural network machine learning model that classifies images. 3. Train this neural network. 4. Evaluate the accuracy of the model. For the submission, submit in the plain text 1. The commands you ran for the 4 steps above 2. The output of probability_model(x_test[:5]) Source code for Chapter 1 2. Use Google Colab, complete the tutorial at ‘Basic regression: Predict fuel efficiency’ by doing following: 1. Load ‘Auto MPG dataset’. 2. Normalize the data. 3. Find linear regression between milage and horsepower. 4. Plot the linear regression line and the data on figure. For the submission, submit in the plain text 1. The commands you ran for the steps above. 2. The figure showing linear regression line and the data. Source code for Chapter 2 Note: 1 2 3 4 5 Source code link is provided for each question. Use screenshots wherever required. Please provide explanation of the code. Make sure the code works without any errors. Write a report on each output explaining how the outcome is closer to or far from the assumption. Rubric: