- Training LeNet with MNIST dataset
- http://caffe.berkeleyvision.org/gathered/examples/mnist.html
- this is a simpler model with small dataset to train it quickly even on a CPU
- change the 'solver_mode' value in the proto buffer file lenet_solver.prototxt in order to train on CPU only machine # solver mode: CPU or GPU
solver_mode: CPU - Training XNet on ImageNet dataset
- download existing trained .caffemodel
- ./script/download_model_binary.py model/blvc_reference_rcnn_ilsvrc13
- should download blvc_reference_rcnn_ilsvrc13.caffemodel
- it looks for the following two files "deploy.prototxt, readme.md" inside the models/bvlc_reference_rcnn_ilsvrc13 directory
- training new caffe model using own data
Apr 20, 2016
Caffe training/testing
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