Training Residual Neural Network with your own dataset
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- čas přidán 12. 09. 2020
- #python #TensorFlow #Keras
ResNet50 Architecture video link:-
• RESNET50 Architecture ...
In this video we have trained a ResNet50 model from skratch in python.
You can check out udemy complete course for transfer learning on below link
www.udemy.com/course/advanced...
A residual neural network (ResNet) is an artificial neural network (ANN) of a kind that builds on constructs known from pyramidal cells in the cerebral cortex. Residual neural networks do this by utilizing skip connections, or shortcuts to jump over some layers. Typical ResNet models are implemented with double- or triple- layer skips that contain nonlinearities (ReLU) and batch normalization in between.An additional weight matrix may be used to learn the skip weights; these models are known as HighwayNets.[3] Models with several parallel skips are referred to as DenseNets. In the context of residual neural networks, a non-residual network may be described as a plain network.
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1. Object detection with tensorFlow api after installation :- czcams.com/video/CBfO4uSwLTI/video.html
2. Yolo Object detection :- czcams.com/video/zm9h4mYymk0/video.html
i realize Im pretty randomly asking but does anybody know a good website to watch newly released movies online ?
Sir, could you please tell how to predict the test_data in the multi class model?
Hi could you show the output with identification of each flower?
Hello. Why are u using validation_split when u've already used splitfolders library for splitting? That's mean u are splitting dataset 2 times. isn't it? if anyone knows this please reply.. (I didn't use validation_split and got good accuracy)
Sir, I appreciate your description. It is quite understandable. My request is to make one video regarding image super-resolution using CNN.
Hi Jay thanks for the explaining the code, but i did not find any github link in the description
The best video tutorial I have ever come across.
Why do we have to use validaiton_split if we had already split the data to train, test, and validation with 6:2:2 ratio?
Hello there,
You used the split function in the code you wrote. but then why did you use subset, wouldn't it make more sense not to use it?
Why did you create a validation dataset and then use the subset command? Won't it affect accuracy incorrectly?
hello can you make video tutorial about image detection and only one kind of flower is our dataset
hey, bro may you give Github link for it, because I am getting the accuracy of 1 from the very first epoch, which suggests it gets overfit so I want to conform it
Can you make a video on facial pain detection using ResNet
Brother, I really want to use CNN for this instead of RNN. How do I do that??
Hello there,
You have shared good work. Thank you so much for sharing this tutorial.
I tried to train my custom image data with this model but something went wrong when it starts training.
In the first epoch it showing 1233/unknown -123s 123ms/step - loss: 0.0045 acc: 0.9914
du to the unknown limit it can not complete the first epoch and it seems like the training is stuck in a loop.
It would be a great help if someone can figure out the problem.
--Thanks in advance
please sir where is the link to your dataset. the one I downloaded from kaggle does not have output(processed data). Thanks
Sir what if we want to predict facial recognition like puffy eyes,wrinkels and dark spots what will be the code change
this was really helpful.could you please share this code?
hello sir do you similar video for ocr? i want to train to identify for sql statements/syntax
Hello
can you make video for Alex Net model
Hello I get a problem when I runing the code.It show "Found 0 images belonging to 0 classes." What could I do to solve ?. Thankyou
Hey, can I take all images to numpy from ImageDataGenerator? How?
Hi...pretty informative video, can you share the code?
Sir Please a make video Fire detection using ANN algorithm and flower pollination algorithm
Dude, you saved me
Great Job!!!
How can we do the deployment can you share that too
Hi I know its a pretty old video, my code can't find the path specified hope to advised.
Can you make auc and roc curve ?
Thankyou brother Thankyou ❤️ 🙏 💙 🙌
amazing content
what is the page that you can debug
can you post the above code
how do we test the model for a data???
video is blur at my side so please give me solution what i do?
Sorry, I cannot find your GitHub link. Can you please share it?
Thank you so much!
But how to use model to identify flower with custom input images?
i have the same doubt
Saved me bro😁😘
thnx a lot bro
Can you please share your github link?
can i get this code plz?
This video actually helped me with my project when so many other articles and videos I searched for did not. Only question I have is the same as a couple other comments: why do we set a validation ratio of 0.4 when we already have separate folders? Oh well it works so thanks!
I have tried this code but after model. Fit it shows error in confusion matrix code from starting for loop
Where is the github link
Can you please provide code?
Hello Dr i am try to traning my own binary dataset . binary classfication . and i do all step with you but add my own data . in final cell i have an type error message : Invalid keyword argument(s) in `compile()`: ({'matrics'},). Valid keyword arguments include "cloning", "experimental_run_tf_function", "distribute", "target_tensors", or "sample_weight_mode". can you help me please 🤗 and thank you for this video .
base_model = ResNet50(include_top=False, weights='imagenet')
x = base_model.output
x = GlobalAveragePooling2D()(x)
x = Dense(1024, activation='relu')(x)
predictions = Dense(train_generator.num_classes,activation='softmax')(x)
model=Model(inputs=base_model.input,outputs=predictions)
for layer in base_model.layers:
layer.trainable = False
model.compile(optimizer ='adam', loss= 'binary_crossentropy', metrics =['accuracy'])
model.fit(train_generator,epochs = 10)
this is my modify to use it with binary .
can you share code
I ran the code in google colab I found error when compile model
PIL.UnidentifiedImageError: cannot identify image file
where did you get the code ??? i didn't found the file ???
predictions = Dense(train_generator.num_classes, activation="softmax")(x)
I am getting an error "Inputs to a layer should be tensors."
send me the source code plz
Sir, could you please tell how to predict the test_data in the multi class model? or if anyone know then please help.
Did you complete this?
share the code or github link
Source code, please?
Please provide github link
Share the code
Is this the same with resnet18?
yes its same for all transfer learning model
where us tge github ?
predictions=Dense(X_train.num_classes,activation='softmax')(x)
6 model=Model(inputs=base_model.input,outputs=predictions)
7
AttributeError: 'numpy.ndarray' object has no attribute 'num_classes'
help me to overcome it
Number classes you have defined at beginning of model check it
"Inputs to a layer should be tensors." I am getting errors like this
Everytime i get this error : Image transformations require SciPy. Install SciPy. In x,y = test_generator.next()
try it in google colab
i got same error plss tell how you fix this
Can you please post your Github link?
Did you find it? If yes please comment.
No I didnt find it
The code worked perfectly, but I have a question about the GPU processing speed.
I have no much experience, but while training other datasets my GPU was able to process even bigger and as much complex as this one way faster, so my question is, if someone knows why is this so slow (I guess is related to ResNet50, based on a quick google) but I might like to know exactly why
Thanks so much
From where you get this code?
Can i please get this code?
yess plzzz
Can you show the same based on CNN?
sure video is already there on my youtube channel
czcams.com/video/uqomO_BZ44g/video.html
@@whenmathsmeetcoding1836 bro data_prepricessing file only worked for me. Resnet50.pynb not working.. I don't know why😒.. Can you clear my doubts ❔
@@ccna_and_ceh_tutorials_ sure did you follow all steps from video..
@@whenmathsmeetcoding1836 I will check once again, if any error, please guide me
Bro while processing resnet50, Model.save module,
Error is unicode error
can you post the above code