Machine Learning Project: Potato Disease Classification
The Jupyter notebook is about potato disease classification using a dataset from Kaggle. The notebook imports necessary dependencies, splits the dataset into training, validation, and test directories, and uses an ImageDataGenerator to preprocess the images. It then builds a model using convolutional layers and trains it on the dataset. The notebook also includes code to plot accuracy and loss curves, run predictions on sample images, and save the model in h5 format.
This is an autogenerated video based on the requested Jupyter Notebooks. Do you want to generate your own videos? You can request more videos through our website: https://jupyvideo.feltlabs.ai
This tutorial is based on Jupyter notebook: https://github.com/codebasics/potato-...