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Keras is a popular, open-source deep learning API for Python built on top of TensorFlow and is useful for fast implementation. Topics include efficient low-level tensor operations, computation of arbitrary gradients, scalable computations, export of graphs, etc.

4 votes
2 answers
8k views

TensorFlow Sigmoid activation function as output layer - value interpretation

Tensorflow tutorials state that "Using the sigmoid activation function, this value is a float between 0 and 1 and represents a probability, or confidence level". https://www.tensorflow.org/tutorials/keras
Carl C's user avatar
  • 55
1 vote
1 answer
821 views

Binary classifier using Keras with backend Tensorflow with a Binary output

from __future__ import absolute_import, division, print_function, unicode_literals import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers def build_model(train_dataset …
Carl C's user avatar
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