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- 1. Multiple Choice
Suppose your input is a 300 by 300 color (RGB) image, and you use a convolutional layer with 100 filters that are each 5x5. How many parameters does this hidden layer have (without bias)
2501
2600
7500
7600
- 2. Multiple Choice
You have an input volume that is 63x63x16, and convolve it with 32 filters that are each 7x7, using a stride of 2 and no padding. What is the output volume?
16x16x32
29x29x16
29x29x32
16x16x16
- 3. Multiple Choice
You have an input volume that is 15x15x8, and pad it using “pad=2.” What is the dimension of the resulting volume (after padding)?
19x19x12
17x17x10
19x19x8
17x17x8
- 4. Multiple Choice
You have an input volume that is 32x32x16, and apply max pooling with a stride of 2 and a filter size of 2. What is the output volume?
15x15x16
16x16x16
32x32x8
16x16x8
- 5. Multiple Choice
The most suitable activation function for hidden layer
Sigmoid
Softmax
ReLu
tanh
- 6. Multiple Choice
When an ENTIRE dataset is passed forward and backward through the neural network only ONCE.
One epoch
One batch
One iteration
- 7. Multiple Choice
exploit spatially-local correlation by enforcing a local connectivity pattern between neurons of adjacent layers.
RNN or Recurrent Neural Network
CNN or Convolution Neural Network
LSTMor Long-Short Term Memory
- 8. Open Ended
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