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All LessonsFree Lessons (7)

What you'll learn from this course

Image Processing

Introduction Image Files Image Types Resizing Dataset Iterator Execution PIL Library Quiz

CNN

Multiple Layers

Fully-Connected

SqueezeNet

Introduction Initialization Augmentation Fire Module Stacking Fire Model Layers Adding Fire Depth Logits Sparse Labels Quiz

ResNet

Introduction ImageNet Initialization Padding Pre-activation Shortcut ResNet Block Bottleneck Block Layer Model Layers Full Model Architecture Quiz Course Conclusion

Image Recognition with Machine Learning/

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Quiz

Quiz

We'll cover the following...

Technical Quiz

1.

Why do we reshape the input data into NHWC format for a CNN?

A.

This saves a large amount of space compared to the regular data matrix format

B.

Since CNNs have more layers than MLPs, the data needs to be in a different format

C.

NHWC format is significantly faster to process than regular data matrix format

D.

It puts the data in the proper format to be used with convolution layers

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