symjax
symjax.data
symjax.tensor
symjax.tensor.interpolation
symjax.tensor.signal
symjax.tensor.fft
symjax.tensor.random
symjax.tensor.linalg
symjax.nn
symjax.nn.initializers
symjax.nn.layers
symjax.nn.optimizers
symjax.nn.schedules
symjax.nn.losses
symjax.probabilities
symjax.rl
Contents
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
RNN/GRU example
MNIST classification
Image classification, Keras and SymJAX
Speech picidae Dataset
MNIST Dataset
CIFAR10 Dataset
RNTK kernel
Morlet Wavelet in time and Fourier domain
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