Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.
ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
Feed your own image data to a pre-trained network by tensorflow
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format
