Releases · delta-rs/delta

What's Changed

Add code to download mnist by @chaseWillden in #4
Implement tensor random and zeros functions. Add size to shape by @chaseWillden in #5
Fit model by @chaseWillden in #6
Adding new dataset CIFAR-10 and example project by @mjovanc in #24
Mnist Example with Adam Optimizer by @chaseWillden in #25
Add cross entropy loss by @chaseWillden in #27
Split out layers models by @mjovanc in #33
Loss decrease by @chaseWillden in #39
Adding optimization for performance and cleanup by @mjovanc in #40
Improving sequential model output while training by @mjovanc in #43
Save model by @chaseWillden in #46
Adding logging library by @chaseWillden in #50
Add imagenet_v2 by @chaseWillden in #51
Helper function adam by @mjovanc in #52
Adding println to fit function by @mjovanc in #53
Fix unit test, test_adam_optimizer_incompatible_shapes in adam.rs by @mjovanc in #68
Refactoring and cleanup by @mjovanc in #70
Impl validate func sequential model by @mjovanc in #73
Fix split_at to allow dynamic shapes by @chaseWillden in #75
Implement Xavier or He initialization of random weights by @chaseWillden in #77
Implement leaky relu by @chaseWillden in #83
Implements prelu by @chaseWillden in #85
Implement gelu by @chaseWillden in #87
Implement ada delta optimizer by @chaseWillden in #92
Implement the other optimizers by @chaseWillden in #94
Implements huber and mean aboslute error by @chaseWillden in #96