Machine-Learning-Tokyo / DL-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

DL-workshop-series

Code used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Part I: Convolution Operations

Implementation

ConvKernels: colab notebook with simple examples of various kernels applied on an image using convolution operation ConvNets: colab notebook with functions for constructing keras models. Models:

1. AlexNet
2. VGG
3. Inception
4. MobileNet
5. ShuffleNet
6. ResNet
7. DenseNet
8. Xception
9. Unet
10. SqueezeNet
11. YOLO
12. RefineNet

Slides

Link to the presentation: https://drive.google.com/open?id=1sXztx3E9M3G0BIRLh6sxaqVOEOdJVJTrzHOixA5b-rM

Cheat Sheet:

Video series: CNN Architectures (including implementation)

Part II: Learning in Deep Networks