cerebros-core-algorithm-alpha
cerebros-core-algorithm-alpha copied to clipboard
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategi...
Kind of issue: Enhancement Additional context: Alex developed a custom enbedding: ```python3 class CustomEmbedding(tf.keras.layers.Layer): def __init__(self, input_dim, output_dim, **kwargs): super(CustomEmbedding, self).__init__(**kwargs) self.input_dim = input_dim self.output_dim = output_dim def build(self, input_shape):...
Kind of issue: Enhancement R and D Additional context merge of work in #77 and #136 Suggested Labels (If you don't know, that's ok): kind/enhancement
Kind of issue:continued R and D for #135 Suggested Labels (If you don't know, that's ok): kind/enhancement
Kind of issue: enhancement Expected behavior A clear description of what you expected to happen. Additional context: Alex suggested to try injecting embedding layers into the NAS. Noting that embedding...
Kind of issue: Enhancement / R and D Additional context: Enhancement to work in branch 131, merge candidate: 9e92a89a7b89c32e4c3244a97a1c323cff55bccc Add any other context about the problem here. On the test...
Kind of issue: enhancement Additional context: Another attempt to make a lighter weight equally robust model. Suggested Labels (If you don't know, that's ok): kind/enhancement kind/performance
Kind of issue: [bug | feature-request-or-enhancement | Process Change | Support request]: Final fine tuning to the merge candidate: 233e8823201e8ea197e04c3caa9fabe6f773b907 Additional context Last commit looks like our cold start performance...
Added EfficientNet (v.2, small model) fine-tuning on Cifar-100 using Cerebros / ipynb notebook / py code
Kind of issue: Deprecation: The optimizer Adam is obsolete and needs to be updated with a new SOTA optimizer. Suggested Labels (If you don't know, that's ok): kind/performance kind/enhancement kind/scintific-and-hpc
Added RegNet fine-tuning on Cifar-10 using Cerebros / ipynb notebook / py code