eva-6-3 Goto Github PK
Type: User
eva-6-3's Projects
cifar10_cnn_model
no maxpool, below 200k params, min 85%+acc, albumenation, make use of depthwise and dilated conv.
cnn_regularizations
Comparison / interaction study on Batch/Group/Layer Normalizations and L1/L2 losses
eva_experiments
runs of eva experiments
eva_training_flow
This is an updated version of prev training template for eva
eva_training_template
Modular training template with seperate model, training, testing, regularization, data, and misc
nn_image_number
neural network that take 2 inputs: an image and a random number between 0 and 9 and gives two outputs: the number that was represented by the image and the sum of this number with the random number that was generated and sent as the input to the network
session_4_assignments
mnist 99.4% accuracy under 20k params.
session_5_assignment
Train MNIST to 99.4% Test accuracy (stable) with <10k parameters in under 15 Epochs.
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