ImageNet pre-trained models with batch normalization for the Caffe framework
-
Updated
Nov 26, 2017 - Python
ImageNet pre-trained models with batch normalization for the Caffe framework
A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
Transfer learning in Caffe: example on how to train CaffeNet on custom dataset
Softwares tools to predict market movements using convolutional neural networks.
Calculates the complexity of a caffe network
Scripts for iterative training with multiple models and datasets using Caffe framework.
Real-time Embedded Deep Learning for Autonomous Lane Change Systems of Autonomous Driving
Face Recognition in Caffe using different VGGNet architectures on ColorFeret and LFW datasets
Friendly Caffe Framework Friends(FCFF)
Face detection, and recognition using MTCNN,FACENET, HAAR CASCADES and CAFFE MODELS
These are just a few bash and python scripts specific to the Tenn Tech High Performance Computing Server for usage with Caffe
A python application with a GUI which uses a caffe model to colorize black and white images.
Add a description, image, and links to the caffe-framework topic page so that developers can more easily learn about it.
To associate your repository with the caffe-framework topic, visit your repo's landing page and select "manage topics."