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What is the difference between a sigmoid followed by the cross entropy and sigmoid_cross_entropy_with_logits in TensorFlow?

score 44742 · Answer 1 · 2025-01-07 05:26:39

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What is the difference between a sigmoid followed by the cross entropy and sigmoid_cross_entropy_with_logits in TensorFlow?

44.7k views Asked by D.S.H.J At 07 January 2025 at 05:26

score 2582 · Answer 2 · 2025-01-03 11:42:50

Tensorflow 2.2 [predictions must be >= 0] [Condition x >= y did not hold element-wise:] [x (dense_1/Sigmoid:0) = ]

2.5k views Asked by user14397621 At 03 January 2025 at 11:42

score 1069 · Answer 3 · 2025-01-03 11:37:08

How to get numpy.exp to work with an array as well as a scalar?

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score 102 · Answer 4 · 2025-01-03 11:39:13

Is there a way to round very large fractions like 3.7625745528893614e-83?

102 views Asked by viv3000 At 03 January 2025 at 11:39

score 602 · Answer 5 · 2025-01-03 11:34:37

Why XOR problem works better with bipolar representation?

602 views Asked by Exploring At 03 January 2025 at 11:34

score 979 · Answer 6 · 2025-01-07 04:15:07

Simulate sklearn logistic regression predict_proba with only coefficients and intercept

979 views Asked by United121 At 07 January 2025 at 04:15

score 71 · Answer 7 · 2025-01-03 11:43:38

ValueError: Input 0 of layer "sequential_17" is incompatible with the layer: expected shape=(None, 6), found shape=(None, 5)

71 views Asked by 윤은채 At 03 January 2025 at 11:43

score 96 · Answer 8 · 2025-01-03 11:35:24

My one neuron neural network does not work with my dataset

96 views Asked by Ahmet Rauf Oktay At 03 January 2025 at 11:35

score 3664 · Answer 9 · 2025-01-03 11:26:46

Activation functions: Softmax vs Sigmoid

3.6k views Asked by bearthum At 03 January 2025 at 11:26

score 5729 · Answer 10 · 2025-01-03 11:39:12

Why is the decoder in an autoencoder uses a sigmoid on the last layer?

5.7k views Asked by Gulzar At 03 January 2025 at 11:39

TechQA.

List Question

What is the difference between a sigmoid followed by the cross entropy and sigmoid_cross_entropy_with_logits in TensorFlow?

Tensorflow 2.2 [predictions must be >= 0] [Condition x >= y did not hold element-wise:] [x (dense_1/Sigmoid:0) = ]

How to get numpy.exp to work with an array as well as a scalar?

Is there a way to round very large fractions like 3.7625745528893614e-83?

Why XOR problem works better with bipolar representation?

Simulate sklearn logistic regression predict_proba with only coefficients and intercept

ValueError: Input 0 of layer "sequential_17" is incompatible with the layer: expected shape=(None, 6), found shape=(None, 5)

My one neuron neural network does not work with my dataset

Activation functions: Softmax vs Sigmoid

Why is the decoder in an autoencoder uses a sigmoid on the last layer?

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