Testing the Deep Learning classics in Tensorflow 2 to get familiarized with the 2.0.0-beta0 new features...
- Linear Regression and custom models
- Logistic Regressions
- CNN with MNIST
- Style Transfer
- Using a pretrained model
- MobileNet
- Inception / ImageNet
- Tensorflow2 to ONXX
- ONXX and TensorRT (NVIDIA)
Implementation of some classic architectures in TF2 ResNet, AlexNet, LuNet...
Source:
https://wizardforcel.gitbooks.io/tensorflow-101-sjchoi86/webcrawling_naverstock.html https://github.com/rasbt/deeplearning-models