Questions

1. What are the three main differences between machine learning and deep learning stated at the beginning of this chapter?
2. What year is considered the explosion of deep learning?
3. What does the following function perform?
   blob = cv2.dnn.blobFromImage(image, 1.0, (300, 300), [104., 117., 123.], False, False)
4. What do the following lines perform?

net.setInput(blob)
preds = net.forward()

5. What is a placeholder in TensorFlow?
6. When saving a model using saver.save() in TensorFlow, what four files are created?
7. What is the meaning of one-hot encoding?
8. What is a sequential model in Keras?
9. What is the purpose of model.fit() in Keras?