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+ # AlexNet
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+ Submission for coding assignment of Fatima Fellowship.
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+ ## Model Details
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+ This is a simple implementation of AlexNet in Keras for the coding assignment of Fatima Fellowship.
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+ ### Model Description
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+ - **Developed by:** Madhav Kumar
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+ - **Model type:** Convolutional Neural Network
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+ ## How to Get Started with the Model
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+ The files contains the notebook Alexnet_without_cropping.ipynb. It contains the code that was used to train the model. In the files, "weights-improvement-07-0.87.hdf5" contain the weights of the best model during training.
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+ "logs-20230326T161429Z-001.zip" contain the logs of the training.
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+ ## Training Details
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+ ### Training Data
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+ The files contain the training data images in train.zip and the data with image names and labels in the train.csv.
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+ ### Training Procedure
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+ I trained the AlexNet model on the training data on Google Colab.
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+ #### Preprocessing
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+ I used data augmentaion to increase the size of training data.
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+ ## Evaluation
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+ The model was tested on a validation data which was 20% percent of the train.zip data. The maximum accuracy obtained was 86.88%.