Coursera《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》(Quiz of Week2)
Introduction to Computer Vision
本博客为Coursera上的课程《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第二周的测验。
What’s the name of the dataset of Fashion images used in this week’s code?
A. Fashion MN
B. Fashion Tensors
C. Fashion MNIST
D. Fashion Data
What do the above mentioned Images look like?
A. 82x82 Greyscale
B. 28x28 Greyscale
C. 28x28 Color
D. 100x100 Color
How many images are in the Fashion MNIST dataset?
Why are there 10 output neurons?
A. To make it train 10x faster
B. There are 10 different labels
C. To make it classify 10x faster
D. Purely arbitrary
What does Relu do?
A. It returns the negative of x
B. It only returns x if x is less than zero
C. It only returns x if x is greater than zero
D. For a value x, it returns 1/x
Why do you split data into training and test sets?
A. To make testing quicker
B. To train a network with previously unseen data
C. To make training quicker
D. To test a network with previously unseen data
What method gets called when an epoch finishes?
What parameter to you set in your fit function to tell it to use callbacks?