AI Features

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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

Introduction Initialization Reshaping Convolution Max Pooling Multiple Layers Fully-Connected Dropout Logits Classification Quiz

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

ImageNet

Label images using a CNN trained on the ImageNet dataset.

We'll cover the following...

Chapter Goals:

Learn about the ImageNet dataset

A. ImageNet dataset

The dataset used in the ImageNet Challenge contains 1.4 million images, with 1.2M in the training set, 50,000 in the ...

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