Profound Learning by closeness of systems administration and high level programming Measures Points AVOI Section 1 - Question 1 Standardize the train and test information 2 Section 1 - Question 2 Fabricate and prepare an ANN model according to the previously mentioned dengineering 10 Section 1 - Question 3 perceptions on the underneath plot 2 Section 1 - Question 4 Fabricate and prepare the new ANN model according to the previously mentioned design 10 Section 1 - Question 5 perceptions on the beneath plot 2 Section 1 - Question 6 Print the grouping report and the disarray network for the test forecasts. perceptions on the end-product 4 Section 2 - Question 1 Complete the beneath code to picture the initial 10 pictures from the preparation information 1 Section 2 - Question 2 One-hot encode the names in the objective variable y_train and y_test 2 Section 2 - Question 3 Fabricate and prepare a CNN model according to the previously mentioned design 10 Section 2 - Question 4 perceptions on the beneath plot 2 Section 2 - Question 5 Construct and train the second CNN model according to the previously mentioned engineering 10 Section 2 - Question 6 perceptions on the underneath plot 2 Section 2 - Question 7 Make expectations on the test information utilizing the subsequent model 1 Section 2 - Question 8 ur last perceptions on the exhibition of the model on the test dataDeep Learning Measures Points Section 1 - Question 1 Standardize the train and test information 2 Section 1 - Question 2 Fabricate and prepare an ANN model according to the previously mentioned design 10 Section 1 - Question 3 your perceptions on the beneath plot 2 Section 1 - Question 4 Fabricate and prepare the new ANN model according to the previously mentioned design 10 Section 1 - Question 5 perceptions on the beneath plot 2 Section 1 - Question 6 Print the characterization report and the disarray framework for the test forecasts. perceptions on the eventual outcomes 4 Section 2 - Question 1 Complete the underneath code to envision the initial 10 pictures from the preparation information 1 Section 2 - Question 2 One-hot encode the marks in the objective variable y_train and y_test 2 Section 2 - Question 3 Fabricate and prepare a CNN model according to the previously mentioned engineering 10 Section 2 - Question 4 perceptions on the beneath plot 2 Section 2 - Question 5 Assemble and prepare the second CNN model according to the previously mentioned engineering 10 Section 2 - Question 6 perceptions on the beneath plot 2 Section 2 - Question 7 Make forecasts on the test information utilizing the subsequent model 1 Section 2 - Question 8 last perceptions on the exhibition of the model on the test dataDeep Learning Models Points Section 1 - Question 1 Standardize the train and test information 2 Section 1 - Question 2 Assemble and prepare an ANN model according to the previously mentioned engineering 10 Section 1 - Question 3 bservations on the underneath plot 2 Section 1 - Question 4 Construct and train the new ANN model according to the previously mentioned design 10 Section 1 - Question 5 servations on the beneath plot 2 Section 1 - Question 6 Print the grouping report and the disarray grid for the test forecasts. perceptions on the end-product 4 Section 2 - Question 1 Complete the beneath code to picture the initial 10 pictures from the preparation information 1 Section 2 - Question 2 One-hot encode the marks in the objective variable y_train and y_test 2 Section 2 - Question 3 Fabricate and prepare a CNN model according to the previously mentioned engineering 10 Section 2 - Question 4 perceptions on the beneath plot 2 Section 2 - Question 5 Assemble and prepare the second CNN model according to the previously mentioned engineering 10 Section 2 - Question 6 vations on the beneath plot 2 Section 2 - Question 7 Make expectations on the test information utilizing the subsequent model 1 Section 2 - Question 8 perceptions on the exhibition of the model on the test dataDeep Learning Models Points Section 1 - Question 1 Standardize the train and test information 2 Section 1 - Question 2 Assemble and prepare an ANN model according to the previously mentioned engineering 10 Section 1 - Question 3 r perceptions on the underneath plot 2 Section 1 - Question 4 Construct and train the new ANN model according to the previously mentioned design 10 Section 1 - Question 5 rvations on the beneath plot 2 Section 1 - Question 6 Print the grouping report and the disarray network for the test expectations. perceptions on the end-product 4 Section 2 - Question 1 Complete the beneath code to picture the initial 10 pictures from the preparation information 1 Section 2 - Question 2 One-hot encode the marks in the objective variable y_train and y_test 2 Section 2 - Question 3 Fabricate and prepare a CNN model according to the previously mentioned engineering 10 Section 2 - Question 4 r perceptions on the underneath plot 2 Section 2 - Question 5 Construct and train the second CNN model according to the previously mentioned design 10 Section 2 - Question 6 r perceptions on the underneath plot 2 Section 2 - Question 7 Make expectations on the test information utilizing the subsequent model 1 Section 2 - Question 8 last perceptions on the exhibition of the model on the test information