Assignment Solution
Explore how to download image datasets from Kaggle into Google Colab and build convolutional neural network models for binary and multi-class classification tasks. Learn to adapt CNN architectures and understand data handling steps to achieve around 75-80% accuracy on practical image recognition projects.
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Problem one
Train a CNN on any other image dataset. You can download a very popular dog vs cat dataset here.
Let us first see how you can load any dataset from Kaggle in your Google Colab for faster and easier computations.
Load data from Kaggle into Google Colab
You need to follow the steps below to download and use Kaggle data within Google Colab:
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Go to your Kaggle account, scroll to the API section, and click “Expire API Token” to remove previous tokens.
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Click on “Create New API Token”: it will download the kaggle.json file onto ...