examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/autoencoder.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/broadcasting_example.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/convolutional_neural_network.py,sha256=0My6RAYnvjQSr53Q2tks5cT3SCUA9nnXhDFQNvf5Ex8,3404
examples/custom_loss_function.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/generative_adversarial_network.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/linear_regression.py,sha256=a5INoMBM23dgPwy9i8BLBB3hQx3t1H8HMzORsL76ZEA,1417
examples/logistic_regression.py,sha256=WMvVIX6-wd76dmM86vQekcOIycDP68xAX5LEk3LonOY,1941
examples/matrix_factorization.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/multiple_inputs_outputs.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/non_scalar_output.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
examples/polynomial_regression.py,sha256=C4x28cYY61BarFlARVvo6Ch85UNtojmTFx9qZ9KRRIY,1799
examples/recurrent_neural_network.py,sha256=19eivXsFVyubswPJzjJyYKi9zoHmf5fpdtxgqQYZEdk,3957
examples/simple_neural_network.py,sha256=fm60eUZJ626p8cvl076_1VGM2j-xRLbWKkUEThp9t6w,2651
examples/using_ops.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
gradnerve-0.1.dist-info/METADATA,sha256=KGXS3JBLa5guP_WyI9jy19kt55xB0rEWhCIA_afX2is,8963
gradnerve-0.1.dist-info/WHEEL,sha256=mguMlWGMX-VHnMpKOjjQidIo1ssRlCFu4a4mBpz1s2M,91
gradnerve-0.1.dist-info/top_level.txt,sha256=dXDQSJdicCEYe9-hGwRfz74aUppQiy6dugXQse6YW00,9
gradnerve-0.1.dist-info/RECORD,,
