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GitHub / fayzi-dev / Multiclass-Classification-with-TensorFlow-Using-Flatten-Layer-and-SparseCategoricalCrossentropy

Deep_Learning(simple neural network and output models predicted labels and true labels)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fayzi-dev%2FMulticlass-Classification-with-TensorFlow-Using-Flatten-Layer-and-SparseCategoricalCrossentropy
PURL: pkg:github/fayzi-dev/Multiclass-Classification-with-TensorFlow-Using-Flatten-Layer-and-SparseCategoricalCrossentropy

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 4.15 MB
Dependencies parsed at: Pending

Created at: 8 months ago
Updated at: about 1 month ago
Pushed at: 8 months ago
Last synced at: 3 days ago

Topics: deep-learning, kears, loss-functions, neural-network, optimization-algorithms, tensorflow2

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