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README.md
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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%.
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