Wow thank you so much... even after completing matlab onramp course in Deep learning, i am not confident in training my network... now i will start working and write you my results... thank you so much....
Sir if we have exel sheet of features extracted by signals.but that exel sheet is not import in this app. How we import the exel sheet for sequence input data. This app is only working for image nt signal processing?
hello. thanks for the video, i had the same problem you had with sigmoid layer, i removed it and put a relu but the problem is still there, my model is not learning. any suggestions? , also im using big batch of data
That was awesome bro, such videos with simple words are what we beginners always expect :) ... can i know, if i can save this net and reuse it later (with same trained weights)? Also, if i reuse that way, is my accuracy expected to improved for the same dataset? please clarify bro.
Thanks for your kind words. Yes, you can save your network by exporting it to your workspace or saving it using the save() command. You can reuse your network to retrain it to increase accuracy. Just be wary of overfitting :)
@@sunnyguha2 one thing more, I developed a network it show accuracy about 97% but when i run the same network on the same dataset next time its accuracy decreases to 30%. Do you know what will be the possible reason behind this deceasing trend?
Wow thank you so much... even after completing matlab onramp course in Deep learning, i am not confident in training my network... now i will start working and write you my results... thank you so much....
Very good video Thank You. Masmoudi from Tunisia
Thank you very much. very helpful and detailed in the delivery
Bro this is AWESOME!!! Thank you very much
excellent video! But random=> 1 - so trained network was wrong?
It is nice thanks brother
thank you❤,the video is awesome!
a great teacher
Useful video thank u. Please upload a video to do semantic segmentation using DeepNeuralDesigner. Thanks in advance.
Currently I am working on Reinforcement Learning in MATLAB series. Maybe I will take a loop at semantic segmentation after that :)
Great tutorial ! Really straigth foward. Thank you for the great contain.
Sir if we have exel sheet of features extracted by signals.but that exel sheet is not import in this app. How we import the exel sheet for sequence input data. This app is only working for image nt signal processing?
i have the same problem
Can you make a video on how to train two network parallel
best bet for now : www.mathworks.com/help/deeplearning/ug/deep-learning-with-big-data-on-gpus-and-in-parallel.html
hello. thanks for the video, i had the same problem you had with sigmoid layer, i removed it and put a relu but the problem is still there, my model is not learning. any suggestions? , also im using big batch of data
in my deep network designer toolbox data and the training options are not showing. I am using Matlab 2024a version. Please guide me about it.
Hi. Can you show me how to classify 3d images of .nii file format. Thanks in advance.
thank you so much!! 😁
Hi, very nice Video and productive. However, I was trying to run the Simulation but I saw this message: Training Failed. Too many input arguments.
Could you help me? I am using the same Matlab Version
Hi, thanks for the valuable information. I'm curious to know about 1D CNN that classifies on the basis of 1D signal input. Can you help me out?
This might help: www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-1-d-convolutions.html
what up!!!1
brother do you know how to design RCNN using deep network designer app?
How to test this model with other datas.?
How to enter the matrix in the deep learning toolbox?
How now to check this network?
Hey I want to detect traffic cones using raspberry pi camera in matlab. Can you please help me???
That was awesome bro, such videos with simple words are what we beginners always expect :) ... can i know, if i can save this net and reuse it later (with same trained weights)? Also, if i reuse that way, is my accuracy expected to improved for the same dataset? please clarify bro.
Thanks for your kind words. Yes, you can save your network by exporting it to your workspace or saving it using the save() command. You can reuse your network to retrain it to increase accuracy. Just be wary of overfitting :)
HOW TO GENERATE CONFUSION MATROX FROM THIS
saa WE LET IT ALL SLIP AWAY
i got an error regarding the convolution layer 2nd box it shows an error can anyone help me
how to train this for numerical dataset
You would have to load in data manually and use featureInputLayer for input
@@sunnyguha2 how to load data matrix manually?
I don't whu my accuracy is very bad despite of change the sigmoid and add more layers
Any one Kindly share how to create line chart or bar chart in matlab
Hi. Anyone help me when I try to export trained network to workspace, it save as series network not DAG network?
If you network is completely sequential then DAG and series are the same. DAG is used when your network has directed loops (like resnet).
@@sunnyguha2 thanks brother
@@sunnyguha2 one thing more, I developed a network it show accuracy about 97% but when i run the same network on the same dataset next time its accuracy decreases to 30%. Do you know what will be the possible reason behind this deceasing trend?
@@muhammadtanveer3194 seems like you are not saving the trained weights .
@@sunnyguha2 after training the network i generate code and save the network in workspace. I dnt know why its not working 2nd time?
why does sigmoid even existed if it's bad?
Sigmoid is sometimes useful as the last layer for logistic decisions and also in shallow and recurrent architectures.
@@sunnyguha2 thanks!