Questions tagged [gpu]

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What is it used to parallellize machine learning (RandoForest, SVM, etc) training and to accelerate inference?

I would like to know what is it used to parallelize ML models and to optimize them? DEEP LEARNING When using Deep Learning usually a GPU is used for training and inference (deployment). This is ...
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When using machine learning (SVM, RandomForest, etc) what would be better to use a GPU or a CPU to parallelize? [closed]

DEEP LEARNING When using Deep Learning usually a GPU is used for training and inference (deployment). This is understandable as GPUs have thousands of cores and Deep learning uses tensors. To ...
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1answer
34 views

Are notebooks with NVIDIA GPU usually Gaming notebooks? [closed]

I am planning to purchase a notebook to do some Machine Learning development and ideally would like to have NVIDIA GPUs so that I can use CUDA as well. Doing a search of the best notebooks for this, ...
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GPU Parallelization: Kernel for Value Function Iteration on Matlab

(I crossposted on stackoverflow, I'm not sure where this question best fits.) I'd like to write a matlab function that does Value Function Iteration on GPU. What I have in mind is very similar to ...
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1answer
29 views

How to compare the performance of different SVMs and CNNs?

I'm a beginner in machine learning und I have a problem to find the best way to compare the performance (accuracy) of different SVMs and CNNs (Jupyter Notebook)? The CNNs I train in Google Colab with ...
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0answers
159 views

GPU for fully-connected network?

I'm interested in neural networks from a general machine learning and pattern recognition perspective and not as much from the perspective of image processing or NLP data. If I want to train a neural ...
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0answers
84 views

Why is number of neurons in hidden layers a power of two?

There is a statement in this quora answer: Layer depth is usually a power of 2 because it is convenient for the GPU. Also, in fully connected layers number of ...
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1answer
4k views

run multiple deep learning models on the same GPU [closed]

Can I use just one GPU to train a model and predict images at the same time? I want to host a website for image predictions. So using GPU for prediction is persistent. At the same time, I may use it ...
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2answers
8k views

What is causing the GPU out-of-memory error(OOM) for my Sequence-to-Sequence network with LSTM? [closed]

I'm currently attempting to make a Seq2Seq Chatbot with LSTMs. The data I used is from Cornell's Movie Dialog Corpus. Here's the link to my code on GitHub, I would appreciate it if you took a look at ...
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0answers
3k views

What are key differences between Theano (Python) and Torch (Lua) for deep learning? [closed]

Theano and Torch both supports GPU calculations. My question is whether Theano or Torch have significant differences in: performance ease of use (assuming one knows the programming language) libaray ...
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3answers
2k views

Deep learning libraries/software with good tutorials or examples

I am looking for deep learning libraries that have very good tutorials or examples, since I would like to learn by examples or doing tutorials even if these are not the best deep learning libraries. ...
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5answers
2k views

Is single precision floating point so bad?

I've been looking at some of the packages from the High perf task view dealing with GPU computations, and given that most GPU seem to be an order of magnitude stronger at performing single precision ...
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2answers
881 views

Gputools for R: how to interpret the experimental procedure?

The following paper describes an implementation of R in parallel on a graphics processing unit (GPU). Buckner et al., The gputools package enables GPU computing in R, BIOINFORMATICS, Vol. 26 no. 1 ...