{"id":7654,"date":"2023-03-04T01:29:44","date_gmt":"2023-03-04T01:29:44","guid":{"rendered":"https:\/\/www.goodacademic.com\/blog\/questions\/project\/"},"modified":"2023-03-04T01:29:44","modified_gmt":"2023-03-04T01:29:44","slug":"project","status":"publish","type":"questions","link":"https:\/\/www.goodacademic.com\/blog\/questions\/project\/","title":{"rendered":"project."},"content":{"rendered":"
\n Learning Goal: <\/b>I’m working on a data engineering exercise and need the explanation and answer to help me learn.<\/p>\n

Q1)Read carefully Chapter 1 from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition. United Kingdom: Packt Publishing.”<\/p>\n

Install TensorFlow by following instructions at tensorflow.org<\/a>. Then, complete the tutorial at ‘TensorFlow 2 quickstart for beginners<\/a>‘ by doing following:<\/p>\n

a.Load a prebuilt dataset.<\/p>\n

b.Build a neural network machine learning model that classifies images.<\/p>\n

c.Train this neural network.<\/p>\n

d.Evaluate the accuracy of the model.<\/p>\n

For the submission, submit in the plain text<\/p>\n

a)The commands you ran for the 4 steps above<\/p>\n

b)The output of probability_model(x_test[:5])<\/p>\n

See the rubric for grading.<\/p>\n

Source code for Chapter 1<\/a><\/p>\n

Q2)Read carefully Chapter 2 from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API,<\/i> 2nd Edition. United Kingdom: Packt Publishing.” Then, complete the tutorial at ‘Basic regression: Predict fuel efficiency<\/a>‘ by doing following:<\/p>\n

a.Load \u00e2\u20ac\u02dcAuto MPG dataset\u00e2\u20ac\u2122.<\/p>\n

    \n
      \n
    1. Normalize the data.<\/li>\n
    2. Find linear regression between milage and horsepower.<\/li>\n
    3. Plot the linear regression line and the data on figure.<\/li>\n<\/ol>\n<\/ol>\n

      For the submission, submit in the plain text<\/p>\n

      a)The commands you ran for the steps above.<\/p>\n

      b)The figure showing linear regression line and the data.<\/p>\n

      See the rubric for grading.<\/p>\n

      Source code for Chapter 2<\/a><\/p>\n

      Q3) See Chapter 8: Recurrent Neural Networks from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API,<\/i> 2nd Edition. United Kingdom: Packt Publishing,” example on page 292: ‘Example \u00e2\u20ac\u2019 One-to-Many \u00e2\u20ac\u201c learning to generate text’. Then, based on the example,<\/p>\n

      A.import the necessary libraries and set up the constants<\/p>\n

        \n
      1. download and prepare the data for our network to consume<\/li>\n
      2. create the vocabulary<\/li>\n
      3. use the mapping dictionaries to convert the character sequence input into an integer sequence<\/li>\n
      4. define the network<\/li>\n
      5. define a loss function and compile the model<\/li>\n
      6. run the training and evaluation loop<\/li>\n
      7. do 50 epochs of training<\/li>\n<\/ol>\n

        For the submission:<\/p>\n

        1.submit the plain text code for the steps above<\/p>\n

          \n
        1. interpret the results\/output of the example above<\/li>\n<\/ol>\n

          See the rubric for grading.<\/p>\n

          Source code for Chapter 8<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

          Learning Goal: I’m working on a data engineering exercise and need the explanation and answer to help me learn. Q1)Read carefully Chapter 1 from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition. United […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[848],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/7654"}],"collection":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/comments?post=7654"}],"version-history":[{"count":0,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/7654\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/media?parent=7654"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/disciplines?post=7654"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/paper_types?post=7654"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/tagged?post=7654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}