TensorFlow and Scikit-Learn for Linnerud Dataset

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In the given code snippet, what library is used for creating a deep neural network?

TensorFlow (correct)

scikit-learn

Pandas

Keras

What is the purpose of using 'epochs' in a neural network model?

To define the number of training iterations on the dataset (correct)

To measure the accuracy of the model

To calculate the loss function

To preprocess the input data

Which method is used to split the dataset into training and testing sets in the given code?

test_train_ratio()

divide_data()

train_test_split() (correct)

split_dataset()

What type of loss function is specified in the model compilation in the code snippet?

'mean_squared_error' Signup and view all the answers

What metric is commonly used to evaluate the performance of a regression model like the one in the code snippet?

Mean Squared Error Signup and view all the answers

What is the purpose of using 'StandardScaler' in the provided code snippet?

To perform feature scaling on input data Signup and view all the answers

What is the purpose of the 'epochs' setting in the given TensorFlow code snippet?

To set the number of times the entire dataset will pass through the model Signup and view all the answers

What does the 'linear_regression' function in the code snippet aim to achieve?

Minimize the mean squared error between predicted and true values Signup and view all the answers

Which function is used to compute the mean squared error in the given TensorFlow code snippet?

tf.reduce_mean(tf.square(y_true-y_pred)) Signup and view all the answers

What is the purpose of 'optimizer.apply_gradients(zip(gradients,[w,b]))' in the given code snippet?

To update the weights and biases based on computed gradients Signup and view all the answers

In deep learning, what does the 'model loss' refer to?

The difference between predicted and true labels during training Signup and view all the answers

What is the function of 'model.compile(optimizer='adam', loss='mean_squared_error', metrics=['accuracy'])' in the given TensorFlow code snippet?

To compile and specify the optimizer, loss function, and evaluation metrics for the model Signup and view all the answers

What is the purpose of setting the 'random_state' parameter in train_test_split?

To ensure reproducibility by initializing a random seed for the data splitting process Signup and view all the answers

What is the purpose of using 'StandardScaler' in this code snippet?

To scale the input features to have a mean of 0 and a variance of 1 Signup and view all the answers

Why is 'softmax' activation used in the output layer of the neural network model?

To obtain class probabilities for multi-class classification Signup and view all the answers

What does 'model.compile(optimizer='adam', loss='mse', metrics=['accuracy'])' specify in this code snippet?

Adam optimizer, mean squared error loss function, and accuracy as the metric for model evaluation Signup and view all the answers

What does 'model.fit(X_train, y_train, epochs=50, batch_size=6, validation_split=0.1)' indicate?

Training the model on X_train with y_train labels for 50 epochs using a batch size of 6 and 10% validation split Signup and view all the answers

What does 'print(f"Final training accuracy: {history.history['accuracy'][-1]}")' display?

The final training accuracy achieved by the neural network model Signup and view all the answers

TensorFlow and Scikit-Learn for Linnerud Dataset

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