Podcast
Questions and Answers
In the given code snippet, what library is used for creating a deep neural network?
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?
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?
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?
What type of loss function is specified in the model compilation in the code snippet?
What metric is commonly used to evaluate the performance of a regression model like the one in the code snippet?
What metric is commonly used to evaluate the performance of a regression model like the one in the code snippet?
What is the purpose of using 'StandardScaler' in the provided code snippet?
What is the purpose of using 'StandardScaler' in the provided code snippet?
What is the purpose of the 'epochs' setting in the given TensorFlow code snippet?
What is the purpose of the 'epochs' setting in the given TensorFlow code snippet?
What does the 'linear_regression' function in the code snippet aim to achieve?
What does the 'linear_regression' function in the code snippet aim to achieve?
Which function is used to compute the mean squared error in the given TensorFlow code snippet?
Which function is used to compute the mean squared error in the given TensorFlow code snippet?
What is the purpose of 'optimizer.apply_gradients(zip(gradients,[w,b]))' in the given code snippet?
What is the purpose of 'optimizer.apply_gradients(zip(gradients,[w,b]))' in the given code snippet?
In deep learning, what does the 'model loss' refer to?
In deep learning, what does the 'model loss' refer to?
What is the function of 'model.compile(optimizer='adam', loss='mean_squared_error', metrics=['accuracy'])' in the given TensorFlow code snippet?
What is the function of 'model.compile(optimizer='adam', loss='mean_squared_error', metrics=['accuracy'])' in the given TensorFlow code snippet?
What is the purpose of setting the 'random_state' parameter in train_test_split?
What is the purpose of setting the 'random_state' parameter in train_test_split?
What is the purpose of using 'StandardScaler' in this code snippet?
What is the purpose of using 'StandardScaler' in this code snippet?
Why is 'softmax' activation used in the output layer of the neural network model?
Why is 'softmax' activation used in the output layer of the neural network model?
What does 'model.compile(optimizer='adam', loss='mse', metrics=['accuracy'])' specify in this code snippet?
What does 'model.compile(optimizer='adam', loss='mse', metrics=['accuracy'])' specify in this code snippet?
What does 'model.fit(X_train, y_train, epochs=50, batch_size=6, validation_split=0.1)' indicate?
What does 'model.fit(X_train, y_train, epochs=50, batch_size=6, validation_split=0.1)' indicate?
What does 'print(f"Final training accuracy: {history.history['accuracy'][-1]}")' display?
What does 'print(f"Final training accuracy: {history.history['accuracy'][-1]}")' display?
