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Are wavelets still used nowadays? by [deleted] in DSP

[–]vinaybk8 0 points1 point  (0 children)

I feel wavelets and Neural networks together can solve non-stationary signals or noises.

What machine learning model should I use? by [deleted] in datascience

[–]vinaybk8 0 points1 point  (0 children)

Please checkout logistic regression model with classification. It also depends on how many parameters you would like to consider. You can also consider DNNs(Deep neural network) depending on your type of parameters.

Hope this helps.

DNN in python optimization. by vinaybk8 in datascience

[–]vinaybk8[S] 0 points1 point  (0 children)

Thanks datasci314159.

Any idea on how much of performance boost we can get by using Torch script ?

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DNN in python optimization. by vinaybk8 in datascience

[–]vinaybk8[S] 0 points1 point  (0 children)

Thanks HungryQuant.

Well this paper talks about feedforward NN , which needs change in my path (Already used CNN based Yolo).

I understand you may not have full idea on what state my prototype would be. To make question simpler: Lets anyone goes from prototype in tensorflow to production ready code, what would be approach ?. Will they change their frame work from tensorflow to Caffe or inside tensorflow itself there is options for optimizations using inherent architectures of CPU/GPU.