Python Code for Ensemble Model for Image Classification

Model averaging is an ensemble technique where multiple sub-models contribute equally to a combined prediction. In this video, you will discover how to develop a stacked generalization ensemble for deep learning neural networks.
A model averaging ensemble combines the predictions from multiple trained models. A limitation of this approach is that each model contributes the same amount to the ensemble prediction, regardless of how well the model performed.
Link to download the dataset:
www.kaggle.com/datasets/yasse...
Link for Implementing Pre-trained Models for Image Classification:
• Deep-learning in Healt...
Python Code to Combine Pre-Trained Models:
from tensorflow.keras.models import Model, load_model
from tensorflow.keras.layers import Input, Average
model_1 = load_model('/content/drive/MyDrive/model-01-0.9044.hdf5')
model_1 = Model(inputs=model_1.inputs,
outputs=model_1.outputs,
name='name_of_model_1')
model_2 = load_model('/content/drive/MyDrive/model-04-0.8156.hdf5')
model_2 = Model(inputs=model_2.inputs,
outputs=model_2.outputs,
name='name_of_model_2')
models = [model_1, model_2]
model_input = Input(shape=(224, 224, 3))
model_outputs = [model(model_input) for model in models]
ensemble_output = Average()(model_outputs)
ensemble_model = Model(inputs=model_input, outputs=ensemble_output, name='ensemble')

[@yasirhusseinshakir4139]

Keep going excellent

[@muhammadzaheersajid3512]

Amazing video

[@summykaliga]

Thanks a lot! It definitely helps..

[@sekharbabu8498]

Good information. Thank you madam .

[@aditiarora2128]

nice explanation mam, plz elaborate how we can create a new learner algorithm ???
Is there are multiple ways for that also????

[@siddharthrana512]

hello mam , how to use this model for unseen image(prediction image without class label) , because in this video i have seen that you have used image_daatset_directory(mostly its work for subdirectory) , if i have a test folder with unlabel images then how to use it for prediction.

[@masroorahmedkorejo6834]

Great Informative video. I would like to request you please make a videos using pretrained models with different ensemble techniques such as Bagging , stacking , and Boosting. Based on image dataset. Thanks

[@aminadjoudi5163]

i would like to request her to make different kind of the type of models using images and text by using inception, bert and MLP for example, please, look for forward from you madam

[@newsanalysis8789]

at 8:39 load_model wali line mein path kaise define kia?

[@indointanchannel]

Excuse Mam, Why Does My Code always make errors in the training model1? I turn on T4 GPU. Could you give me a solution to solve it? Thanks before.

[@RAZZKIRAN]

thank you madam

[@officialwondersharefilmora2174]

I'm using anaconda and I'm a little bit confused on which kind of folder to use because there are 8 folders in the zip

[@prasannapm3220]

so this is bagging ensemble ?
how about boosting ensemble

[@devendew]

How to use Voting Method? Please help...

[@masroorahmedkorejo6834]

Hello madam, great information in this video. it is requested that kindly make a video on the stacking ensemble technique using DCNN models for image classification i have difficulty in implementing stacking ensemble techniques. Thank you so much for sharing for informative videos

[@alehtesumkorim1634]

Mam i want to take the best weight and i save it using checkpoint. But when i am going to load the models for ensemble then it not loading. It work when i save entire model not only best weight.

[@WEJDENSMARI]

you didn't choose the VGG16 model in this case because its accuracy doesn't inproove so you used the inceptionV3 twice

[@shradhadubey7503]

Nice explaination!! But I have one doubt kindly solve it plz
From where did model 2 hdf5 file came as while training the accuracy of vgg16 i.e. model 2 is not improved so no hdf5 model is saved
model_2 = load_model('/content/drive/MyDrive/model-04-0.8156.hdf5')

[@investime247]

train model 1 separately and model 2 separately and load the model and create ensemble model it works fine

[@didousofiane3543]

yes this is what i did @@investime247

[@srilakshmiprasannagodithi4523]

Mam I have one doubt please resolve that we are making a stacked ensemble model using the model average ensemble approach?. Here stacked ensemble approach means? Here both are different methods?

[@investime247]

stacked ensemble is different from model averaging. Stacked ensemble will have meta learner to come the predictions of the base learners. Average ensemble will find the average of all the predictions

[@fingerlessboy]

​@@investime247how do we apply stacking ensemble to this type of problem? Do you have a tutorial on that?

[@Subhankar_Mazumder_]

is this model fusion??

[@rameelaalmas6642]

Ma'am I am having trouble in implementing voting classifier such as decision tree and svm on my models such as vgg 16 .. please guide me

[@investime247]

what is the error?

[@rameelaalmas6642]

Maam thank you so much i have implemented your recent weight average ensemble in my project. Thank you so much

[@DrSathishKumarP]

model 2 is not improved so no hdf5 model is saved . can explain

[@investime247]

You can run seperate code for each model in different files and save separately. After that load the model and create ensemble

[@prasannaravijr1420]

now how to give input and check the output of the new test image?

[@investime247]

Pass the new test image in model.predict()

[@hackandtech8918]

Great work.
Can you please share the code and dataset?

[@investime247]

github.com/hema2107/EnsembleModel

[@hackandtech8918]

@@investime247 ma'am can we apply it on binary dataset?

[@TejasMahajan325]

@@hackandtech8918 yes use 2 instead os 8 in the dense layer for model1 and model2

[@user-ts6py4ce4z]

​@@investime247maam i am doing segmenting optical disc and cup for detection of glucoma using ensemble base method but i have isssue maam my model work but output fully black now

[@knoberknoby]

Mam, there are many potential flaws in your hybridization technique.

[@firlytaufikurohman6922]

hi can i save the ensemble model into .h5 file?

[@investime247]

I tried it gave error

[@firlytaufikurohman6922]

@@investime247 is there another way to save model ensemble?

[@shakthi7072]

Try saving it as a pickle file instead of h5

[@RAZZKIRAN]

please share the code madam

[@Ojanto226]

I was wondering if we have 8000 images, then how can we increase it to 12000.

[@investime247]

you can use an augmented pipeline and specify the number of images you want to generate
th-cam.com/video/pyczpaJOuLU/w-d-xo.html

[@esraaali9660]

​@@investime247 good information i tried it on dataset of 6000 images with 4 classes but i faced overfitting for the results of ensemble model, could you please give me tips of how to overcome this issue i will be thankful for your help.

[@swathibinoj5202]

Mam, can you please share the entire code.

[@investime247]

github.com/hema2107/EnsembleModel/blob/main/ensemble_inception_and_xception.py

[@alienware-hq1oe]

Hello miss, please share the code.

[@investime247]

github.com/hema2107/EnsembleModel

[@alienware-hq1oe]

@@investime247 Thank you :)