Gallery

Basic examples

Introductory examples that teach how to use SymJAX.

Basic image resampling and alignment

Basic gradient descent (and reset)

Basic 1d upsampling

Pixel interpolation learning

Basic (linear) deconvolution filter learning

Basic scan/loops examples

Basic image transform (TPS/affine)

Computation times

Adam TF and SymJAX

Deep Neural Networks

RNN/GRU example

MNIST classification

Image classification, Keras and SymJAX

Datasets

Speech picidae Dataset

MNIST Dataset

CIFAR10 Dataset

RNTK kernel

Signal Processing

Morlet Wavelet in time and Fourier domain