arnauldnzegha Goto Github PK
Name: arnauldnzegha
Type: User
Bio: Image Processing and Deep Learning
Name: arnauldnzegha
Type: User
Bio: Image Processing and Deep Learning
calculate normals at vertices of a 3D object. just using numpy
we apply model pruning and quantization to LeNet5, VGG16, and AlexNet. Original and compressed models were applied to the benchmark of plant seedling classification (V2 Plant Seedlings Dataset) and Flavia database. Results reveal that it is possible to compress the size of these models by a factor of 38 and to reduce the FLOPs of VGG16 by a factor of 99 without considerable loss of accuracy.
Deep2pds Cirad
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Evaluation of TensorFlow autogradients on Sine(x-ct)
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