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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

Full Model Architecture

Course Conclusion

Image Recognition with Machine Learning/

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Quiz

Quiz

We'll cover the following...

Technical Quiz

1.

What problem does batch normalization solve?

A.

Internal covariate shift

B.

Vanishing gradients

C.

Exponentially slowed down training

D.

Large model memory footprint

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