Multiple Choice
The MNIST xe "convnet (convolutional neural network) "convnet's prediction for each MNIST digit will be an array of 10 probabilities, indicating the likelihood that the digit belongs to a particular one of the classes 0 through 9. When we evaluate the model's accuracy, Keras compares the model's predictions to the dataset's labels. To do that, Keras requires both to have the same ________.
A) profile
B) aspect
C) shape
D) frame
Correct Answer:

Verified
Correct Answer:
Verified
Q5: Which of the following statements a), b)
Q6: Which of the following statements is false?<br>A)
Q7: Which of the following statements a), b)
Q8: Which of the following statements about a
Q9: Which of the following statements a), b)
Q11: Which of the following statements is false?<br>A)
Q12: Which of the following statements is false?<br>A)
Q13: Which of the following statements a), b)
Q14: Which of the following are popular predefined
Q15: _ neural networks are especially appropriate for