All Questions
11 questions
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13
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Help With Converting NumPy Function To TensorFlow Ops (graph execution issue)
I'm trying to export my command recognition model for deploymenet on embedded devices, however, I'm facing trouble when trying to encapsulate the preprocessing function into my model, that way, when I ...
0
votes
1
answer
38
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Patterns binary classification - model doesn't overfit
I am working on a very basic binary classification problem. For each set of four float numbers $(x,y,z,w)$, I want to check if they fall or not into one category.
I have written a model with 3 dense ...
- 123
-1
votes
1
answer
135
views
Exploration for softmax should be binary or continuous softmax?
Maybe it's silly to ask but for random exploration in an RL for choosing discrete action, that in the neural network last layer softmax will be used, what random samples should we provide? binary like ...
1
vote
0
answers
146
views
Is it possible to use RGB image with decimal values when feeding training data to CNN?
I am working with four grayscale images of float32 data type to perform regression using Keras. Three images are stacked using np.dstack to form a RGB data-set. The ...
- 11
0
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0
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462
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Is it possible to transform audio with neural networks to make it sound like 3d sound
so the idea is to feed neural network data like
input: mono audio(extracted from existing 3d audio) output: 3d audio
after training it should convert mono audio to 3d sound
do you think it is possible?...
- 21
2
votes
2
answers
1k
views
How to recognize sequence of digits in an image
I am learning to program neural networks and others, and I would like to know how I can get the numbers that are in an image, for example, if I pass an image that has 123 written, get with my model ...
- 151
2
votes
1
answer
145
views
Can TensorFlow, PyTorch, and other mainstream ML frameworks be used for research-grade work in AI?
Many authors of research papers in AI (e.g. arXiv) write their neural networks from the ground-up, using low-level languages like C++ to implement their theories. Can existing open source frameworks ...
- 123
2
votes
2
answers
890
views
Extract features with CNN and pass as sequence to RNN
I read an article about captioning videos and I want to use solution number 4 (extract features with a CNN, pass the sequence to a separate RNN) in my own project.
But for me, it seems really strange ...
user40943
3
votes
1
answer
264
views
What is the fastest way to train a CNN with billions of examples?
I have a CNN model that I need to train for a large scale genomics application. It is working well with a subset of my training data. I have scaled up to a subset of about 130 million examples and ...
1
vote
0
answers
49
views
How could I locate certain words or numbers in a financial statement?
I would like to code a script that could locate a specific word or number in a financial statement. Financial statements roughly contain the same information, they are however not identical and ...
- 11
2
votes
0
answers
307
views
Suggestions for Deep Learning for regression on huge 3D volumes
I have a dataset of 3D images (volumes) with dimensions 400x250x400. For each input image I have an output of the same dimensions. I would like to train a machine learning (or deep learning) model on ...
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