Matt Watson 4adac05131 Fix discrepancy with softmax when axis=None (#143) ... * Fix discrepancy with softmax when axis=None numpy and jax handled this as an all reduce option tf as a reduction on the last dimension * Fix format		2023-05-11 10:26:10 -07:00
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__init__.py	Add Resizing layer and corresponding backend ops.	2023-05-05 17:12:09 -07:00
function_test.py	Refactor backend.	2023-05-03 15:33:40 -07:00
function.py	Fix format line length (#45)	2023-04-26 22:42:23 -05:00
image_test.py	Add Resizing layer and corresponding backend ops.	2023-05-05 17:12:09 -07:00
image.py	Add operations.image.resize	2023-05-05 15:48:24 -07:00
math_test.py	Added Softmax activation layer (#115)	2023-05-09 16:03:15 -07:00
math.py	Added Softmax activation layer (#115)	2023-05-09 16:03:15 -07:00
nn_test.py	Fix discrepancy with softmax when axis=None (#143)	2023-05-11 10:26:10 -07:00
nn.py	Add depthwise conv layer (#140)	2023-05-10 21:33:59 -07:00
node.py	Format code	2023-04-26 11:59:47 -07:00
numpy_test.py	Added ReLU activation layer (#104)	2023-05-08 12:16:05 -07:00
numpy.py	Added ReLU activation layer (#104)	2023-05-08 12:16:05 -07:00
operation_test.py	Refactor backend.	2023-05-03 15:33:40 -07:00
operation_utils.py	Added ReLU activation layer (#104)	2023-05-08 12:16:05 -07:00
operation.py	Add support for h5 weights loading.	2023-05-08 11:34:55 -07:00
random.py	Add some numpy ops (#1)	2023-04-12 11:31:58 -07:00
symbolic_arguments.py	Add some numpy ops (#1)	2023-04-12 11:31:58 -07:00