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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
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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 …
1
vote
1
answer
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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 …