It’s an absolute honor for us that MLT open education efforts are mentioned in the Keras documentation learning resources:
- Machine Learning Tokyo workshop series
- Part I: Convolution Operations
- Part II: Learning in Deep Networks
- Machine Learning Tokyo (YouTube, GitHub repository): Walkthroughs of CNN architecture implementations
- AlexNet [Notebook] [Video]
- VGG [Notebook] [Video]
- GoogLeNet [Notebook] [Video]
- MobileNet [Notebook] [Video]
- ResNet [Notebook] [Video]
- Xception [Notebook] [Video]
- SqueezeNet [Notebook] [Video]
- DenseNet [Notebook] [Video]
- ShuffleNet [Notebook] [Video]
Thank you to Keras Creator François Chollet and thank you to Alisher Abdulkhaev, Dimitris Katsios and Mustafa Yagmur for your contributions.
Support MLT on Patreon.