arnauldnzegha Goto Github PK
Name: arnauldnzegha
Type: User
Bio: Image Processing and Deep Learning
arnauldnzegha's Projects
calculate_verticesnormal_3d_face__lightaugmentation
calculate normals at vertices of a 3D object. just using numpy
deep-learning-models-compression-for-agri-plants.
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.
deep2pde_berg_nystrom
deep2pdes
Deep2pds Cirad
deepfr_tensorflow_keras_callab
vern
face_fingerprinter_fusion_for_authentification
tensorflow_autogradients
Evaluation of TensorFlow autogradients on Sine(x-ct)
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