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Post date: Jun 15, 2018 1:31:20 AM
Deep learning in general
The course is taught on deeplearning.ai (coursera video)
CS231n: Convolutional Neural Networks for Visual Recognition
There are tons of great tutorials in both ML and NN in CS231n Github
This is probably the best tutorial CNN so far Andrej's Article on CNN
Stanford Deep Learning poster session 2018
Image classification:
Building powerful image classification models using very little data
Building a simple Keras + deep learning REST API
"Do better ImageNet models transfer better"
Fine-tuned ImageNet is a good indicator for other transfer accuracy tasks. Neural net terminology (epoch, batch size and iterations/passes) can be useful.
Object detection:
Deep Learning for Object Detection: A Comprehensive Review
Conv net on Medical image classification
Keras vs Cancer, as a part of Kaggle competition. A concise keras code that you can learn from.
Keras
Fchollet's Github collects many good examples using Keras, pretrained models including Resnet50, VGG16, etc.
Google Sites
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