My solution to the 1st assignment of UdelaR's Deep Learning course, based on Stanford CS231n.

My solution to the 2nd assignment of UdelaR's Deep Learning course, based on Stanford CS231n.

ImageNet dataset parsing and loading in Common Lisp

Lasagne Implementation of Densely Connected Convolutional Networks

Fetch and use ImageNet images

An image classifier for classifying an image into 3 categories (dog, cat or human).

A python script to automate cropping images from the ImageNet dataset using the bounding box annotations

ImageNet model implemented using the Keras Functional API

Variational Auto Encoder

Jupyter notebook templates for training or fine-tuning on ImageNet using TensorFlow.

Convert image net annotated image format to OpenCV classifier format.

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Caffe implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Transfer Learning using AlexNet architecture

simple transfer learning example form Inceptoinv3

Evaluation of the CNN design choices performance on ImageNet-2012.

Training Low-bits DNNs with Stochastic Quantization

train imagenet using tensorflow

TensorFlow Deep CNN for Tiny ImageNet Problem