143 - Multiclass classification using Keras

[Didanihaaaa]

Good job! crystal clear with providing essential details, type of activation, why we use CNN, ... great job. thanks

[aldiramdani]

what if i want to load my own image dataset sir ? do you video for it ? thankyou

[EliEpic-ghqs]

Good job! I love your videos. how do you load data on your own before training ?

[srujanwankhede]

TYSM sir for explaining every details in the project .. also does importing test and train is that easy in every dataset like wang or it is differnet for different datasets?

[abdenurmohammed]

Hi, I like your tutorials. Thank your for the help.

[decoder]

How to use a csv file of point cloud with 4 labels?
My goal is to train a model to classify point cloud data into the 4 labels, i.e., building, trees, ground and unclassified.
Thank you

[SumoCumLoudly]

are there any tutorials like this without all the noise of image processing? just simple data with a multi class target

[ravikiran]

I am intending to perform youtube animated video processing ...for detection/classification of activities/actions within the video.. Also I would like to see if the chracters of animated videos resembles real life characters of the same(as in people whose representation is shown in characters)...How do you suggest me to go about with it as I am jus seeing this subject...

[mihretdesta]

hey sir? I have one question for you about image resizing, my image dimensions are 1650*3500 height and width but which one is the best size for resizing an image for developing a CNN model?

[chetanjarande]

sir how to decide that exactly how many no. of layers I should add in my CNN , means on which factors it depends ?

[yeshwanthgunda]

i have an image that needs to be classified into 3 classes ( 0, 1, 2)
images size is ( 224, 224, 3 ) and total of 180 so for training i am giving 140 ( 140, 224, 224, 3)
and labels are changed to categorical so labels size is ( 144, 3)

Inception_model.compile(loss = 'categorical_crossentropy',
optimizer = 'Adam', metrics = 'acc')
history=Inception_model.fit(x_train, y_train, batch_size=1, epochs=5)

ValueError: Shapes (1, 3, 3) and (1, 2048) are incompatible


what is this ? how to get out of this ?

[renyuanzhang]

I am doing a cell segmentation and tracking task for one of the CTC differential inference contrast image sequence. I am implementing a U-net architecture. Since the cells could be of different identities (used for cell association in time), it seems to me a multi-class classification problem (each pixel of an image belongs to a certain class/ID). How should I go about defining the last layer of the U-net. Should it be a Conv2D with 'softmax' and 'adam' on 56 filter-depth (where 56 is the total number of cell IDs across the sequence)? Or should I use something like Dense layer?

[rv_]

Just an update:
instead of fit_generator now you can use only .fit()

[talkhan]

Good video Sreeni!. I have a little something I want to ask: I want to be able to measure the size of cells from histology samples(purple or brown stained). Do you have any pointers on how to go about this business? Would highly appreciate

[nazmulhossen]

Impressive explannation. Sir I can't split x_train, x_test, y_train, y_test of my self making image dataset of three classes. How can I load self making dataset and split in x_train, x_test, y_train, y_test keras

[brindhac]

How to load the data in (x_train, y_train) if it is not in cifar10 db

[saivarun]

sir what parameters are to be taken for confusion matrix

[roger_island]

Please how can I generate a confusion matrix for a multi class classification. I’ve been getting errors

[ritujangra]

sir...cud u pls how can we plot the confusion matrix and classification report for this

[bijjulasravanthi]

Hello sir, how to use transformers in similarity calculation for visual and ir images