CNN Model made from scratch, using the most popular Kaggle dataset Fruits-360 and obtaining 98% accuracy. Convolutional Neural Networks (CNN) Model from scratch for Object Detection
If you can’t explain it simply, you don’t understand it well enough - Einstein, the Man and His Achievement By G. J. Whitrow, Dover Press 1973.
CNN Model made from scratch, using the most popular Kaggle dataset Fruits-360 and obtaining 98% accuracy.
Step 1- Importing Dataset From Kaggle to Google Colab
Login to your Kaggle account and go to My Account, and download Kaggle.json file by clicking on CREATE NEW API. Then on Google colab upload the same API by following this code gist
!pip install -q kaggle from google.colab import files files.upload() #upload your kaggle.json kaggle api
! mkdir ~/.kaggle ! cp kaggle.json ~/.kaggle/ ! chmod 600 ~/.kaggle/kaggle.json ! kaggle datasets download -d moltean/fruits ! mkdir fruits ! unzip fruits.zip -d fruits
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