ImageNet pre-trained models with batch normalization for the Caffe framework
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Updated
Nov 26, 2017 - Python
ImageNet pre-trained models with batch normalization for the Caffe framework
Softwares tools to predict market movements using convolutional neural networks.
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
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
Calculates the complexity of a caffe network
These are just a few bash and python scripts specific to the Tenn Tech High Performance Computing Server for usage with Caffe
Real-time Embedded Deep Learning for Autonomous Lane Change Systems of Autonomous Driving
Scripts for iterative training with multiple models and datasets using Caffe framework.
A python application with a GUI which uses a caffe model to colorize black and white images.
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