Nomit Jangid
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How to remove noise from this picture?
Hi Natalie, I'm not sure if you want to know anything specific about noice removal. MATLAB has some functions you can use to do...
más de 3 años hace | 0
Custom mini-batches when using 'trainnetwork' - Accuracy/Loss much noisier
Hi Terence, This is the expected behavior. Training on a single batch with all the data gives a smoother curve. It is not requi...
más de 3 años hace | 0
| aceptada
How can I reuse the activations from a layer and then merge it with another coming layer in the same neural network like in the figure?
Hi Cinar, It is not very clear in figure. if you want to add layers output you can use additionLayer function in MATLAB. http...
más de 3 años hace | 0
| aceptada
Training a multitask network using custom training loops with dlnetwork()
Hi, The documentation you are talking about is using dlnetwork function. I am not sure if the article has been updated since yo...
más de 3 años hace | 3
how to create a grayscale-image-input SSD_MobileNetV2 object detection network
Hi ceng, You're changing layerGraph input in the 14th line as well. You can solve this issue by using your replaceLayer functio...
más de 3 años hace | 0
MLP using the Deep Learning Toolbox; Iteration per epoch is 1 in every epoch.
Hi Ritu, If your input data is in a M x N matrix format (where, M = number of parameters and N = number of observations ) MATL...
más de 3 años hace | 2
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Output from Differential Equation
Yes, 'dsolve' gives general solution as well as solution for horizontal asymptotes. you can use 'fplot' function to plot solut...
más de 3 años hace | 0
| aceptada
How to read an image after a particular result from CNN classification?
There are couple of things i'd suggest If you're comparing DistressType to Potholos, make sure to use '==' (not '='). label is...
más de 3 años hace | 0
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Adding a pulse every 0.5 seconds
There are few things i'd like to suggest "zeros(n)" functions returns an n-by-n matrix of zeros.(not array) MATLAB does not ha...
más de 3 años hace | 0
Nonlinear function approximation with the use of neural networks with a GA
In my understanding, you're trying to train neural networks with one hidden layer (containing 2 neurons). You’re using genetic a...
más de 3 años hace | 0