Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with tensorflow
Search options answers only
not deleted
user 67328
TensorFlow is an open source library for machine learning and machine intelligence. TensorFlow uses data flow graphs with tensors flowing along edges. For details, see https://www.tensorflow.org. TensorFlow is released under an Apache 2.0 License.
6
votes
Accepted
How to design batches in a stateful RNN
Your specific case
After [seq1 0-1s] (1st sec of long sequence seq1) at index 0 of batch b, there is [seq1 1-2s] (2nd sec of the same sequence seq1) at index 0 of batch b+1, this is exactly what is …
- 9,442
2
votes
Accepted
Keras + Tensorflow CNN with multiple image inputs
Yes it is wrong, each (68, 59, 59) input should go through one model not an array of them.
You can treat each of 68 images as a channel, for this, you need to squeeze your data axes from (-1, 68, 59 …
- 9,442
1
vote
SVM with Tensorflow
Also, here is an easy to use SVM example in python (without tensorflow).
About the code
The 2D assumption is deeply integrated into the code for prediction_grid variable and the plots. … (['fear', 'abc'], (N, 1))
matrix = np.hstack((x_dummy, y_dummy))
## SVM con Tensorflow
sess = tf.Session()
x_vals = np.array([x[0:dimension] for x in matrix])
y_vals = np.array([1 if y[dimension] == ' …
- 9,442
2
votes
Accepted
problem of entry format for a simple model in Keras
model.evaluate requires both input and output, for example
evaluation = model.evaluate(np.random.random((1, 100)), np.random.random((1, 1)))
I think a step-by-step example would be more beneficial. …
- 9,442
0
votes
Accepted
Why does TensorFlow convert my decoded image to float32 instead of uint8/16?
Convert them back to uint as follows:
train_images = tf.cast(train_images, dtype=tf.uint8)
train_labels = tf.cast(train_labels, dtype=tf.uint8)
Output:
(tf.uint8, tf.uint8)
Versions of my code:
tensorflow …
- 9,442
2
votes
Accepted
What should I observe when choosing which optimizer suits my Deep Neural Network model?
High training score is not an indication of model performance, high test score is. Also, a faster convergence to the same, or better test score is an indication of optimizer performance.
Therefore, …
- 9,442
3
votes
Keras multi-gpu batch normalization
1) How does batch normalization layer work with multi_gpu_model?
For N GPUs, there are N copies of model, one on each GPU. For each copy, forward and backward passes are executed for a sub-batch …
- 9,442
22
votes
Keras vs. tf.keras
And
Before installing Keras, please install one of its backend engines:
TensorFlow, Theano, or CNTK. We recommend the TensorFlow backend.
So Keras is a skin (an API). … TensorFlow has decided to include this skin inside itself as tf.keras. …
- 9,442
6
votes
Is a large number of epochs good or bad idea in CNN
Assuming you track the performance with a validation set, as long as validation error is decreasing, more epochs are beneficial, model is improving on seen (training) and unseen (validation) data.
As …
- 9,442
2
votes
The cross-entropy error function in neural networks
Isn't it a problem that $y_i$ (in $\log(y_i)$) could be 0?
Yes it is, since $\log(0)$ is undefined, but this problem is avoided using $\log(y_i + \epsilon)$ in practice.
What is correct?
(a …
- 9,442