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Results tagged with tensorflow
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user 52089
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.
1
vote
Keras generator Function
Two things to keep in mind about Keras generators, in order to be compatible with Tensorflow 2.x requirements:
Your generator should inherit from keras.utils.Sequence, which allows for internal parallelization …
- 3,970
0
votes
problems with installing tensorflow using anaconda
This just continues indefinitely
This can be because you are behind a proxy that is blocking Anaconda's access to new packages and the installer keeps loading indefinitely.
- 3,970
0
votes
Keras' 'normal' LSTM uses the GPU?
Yes, if you have installed tensorflow-gpu.
If so, how are LSTM and CuDNNLSTM different? I presume CuDNNLSTM uses
the CUDNN API (and LSTM doesn't? …
- 3,970
5
votes
How to supress previous results in a generative network?
I need a way to supress previous answers.
The answer to the question depends on the particular network that you are using. What kind of generative model is it? GAN? Autoencoder? Seq2Seq RNN?
Hav …
- 3,970
12
votes
What does an Input layer of shape=(None,) or (None,12) actually mean?
In tf.keras, a None dimension means that it can be any scalar number, so that you use this model to infer on an arbitrarily long input. This dimension does not affect the size of the network, it just …
- 3,970
9
votes
Accepted
Value Error: Operands could not be broadcast together with shapes - LSTM
The answer that OP provided is correct, yet I would like to elaborate a little more on it, in an attempt to shed more light.
First of all, you have to understand what is performed by the call
reframed …
- 3,970
2
votes
Keras inconsistent training results
The Dropout layer induces randomness (noise) in the training, because random neurons get disabled in every epoch. This leads to slightly different results per training, but the overall performance sho …
- 3,970
5
votes
Accepted
Are mini batches sampled randomly in Keras' Sequential.fit method()
If you set shuffle=True as an argument of the model.fit method, Keras will shuffle the dataset before splitting it into batches (source), otherwise the dataset will be processed sequentially.
- 3,970
5
votes
Accepted
What is exactly meant by neural network that can take different types of input?
In short, can I create neural network that takes different types of
input individually or do I use different neural networks for each of
them and then group their outputs?
Yes, you can. Check …
- 3,970
1
vote
Creating an LSTM NN for Fault Classification with Keras
It is very simple.
Just add a Dense layer (Keras-wise) with one unit after your LSTM network, with sigmoid activation. If you don't use Keras, Dense layer is simply a fully-connected neuron with one …
- 3,970
1
vote
Binary Classification of a ship Dataset
None of the methods you described may classify a dataset alone whereas both can be used to transform your data into another domain in an unsupervised fashion.
PCA projects your data onto n-orthogona …
- 3,970