0.3.0

Implemented enhancements:

• elegy.nn.Sequential docs not clear #107
• [Feature Request] Community example repo. #98

Fixed bugs:

• [Bug] Accuracy from Model.evaluate() is inconsistent with manually computed accuracy #109
• Exceptions in "Getting Started" colab notebook #104

Closed issues:

• l2_normalize #102
• Need some help for contributing new losses. #93
• Document Sum #62
• Binary Accuracy Metric #58
• Automate generation of API Reference folder structure #19
• Implement Model.summary #3

Merged pull requests:

• sparse\_categorical\_crossentropy should check bounds #123 (alexander-g)
• float sample_weight for precision/recall metrics #122 (alexander-g)
• Added Huber loss #121 (abhinavsp0730)
• ResNet Docs + CIFAR10 Example #119 (alexander-g)
• Dataset & DataLoader #118 (alexander-g)
• fix/docs #116 (cgarciae)
• Better save + load #114 (cgarciae)
• Examples Cleanup #113 (alexander-g)
• merge resnet into master #111 (cgarciae)
• Fix metrics error #110 (cgarciae)
• Fix colab notebook getting started #105 (charlielito)
• Added Cosine Similarity loss. #103 (abhinavsp0730)
• small change to trigger build #101 (charlielito)
• New metrics #100 (anvelezec)
• Update CONTRIBUTING.md #97 (haruiz)
• Enhance docs #96 (charlielito)
• Loss Mean Squared Logarithmic error. #95 (abhinavsp0730)
• Documentation improvements #94 (chjort)
• Module v3 #92 (cgarciae)
• Documentation fixes of module-system.md #91 (chjort)
• binary precision and recall metrics #86 (anvelezec)