v0.1.0-alpha

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

New Contributors

• @chaseWillden made their first contribution in #4
• @mjovanc made their first contribution in #24
• @dependabot made their first contribution in #65

Full Changelog: https://github.com/delta-rs/delta/commits/v0.1.0