8 hours- Hard
Last updated on 3/8/23
Train Advanced Deep Learning Models
Evaluated skills
- Train advanced deep learning models
Description
The questions in this will center around the MNIST Dataset. This dataset consists of hand-written digits from 0 to 9 that have been stored as images. Below is an example:
There are approximately 60,000 training images and 10,000 test images which are black and white and have an input shape of 28x28.
In this quiz, you will build a neural network that can accurately classify these digits. Ready? Let’s get started!
Question 1
Which layer is the Input Layer?
Dense
Flatten
Max pooling
Conv2D
Question 2
What is the correct input shape of the input layer?
input_shape=(60000, 30, 30, 1)
input_shape=(28, 28, 1)
input_shape=(60000, 28, 28)
input_shape=(60000, 28, 1)
Question 3
Assuming you have a Conv2D layer in your network, what types of layers typically follow it?
Careful, there are several correct answers.Max pooling layer
Dense layer
Average pooling layer
LSTM layer
- Up to 100% of your training program funded
- Flexible start date
- Career-focused projects
- Individual mentoring
