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Binary Image Classification with CNN (Deep Learning) on Kaggle Dogs vs Cats Dataset

In this tutorial, we have covered how to train a binary image classification deep learning model using a CNN on Kaggle Dogs vs Cats dataset: https://www.kaggle.com/c/dogs-vs-cats/data

We focused on following topics:

1) How to #download the data from #Kaggle to #Google-Colab using API
2) How to split your #train, #validation, and #test data
3) How to train a #CNN model
4) How to #avoid #overfitting of model using #Dropout
5) Importance of #DataAugmentation in improving performance

The code for this video can be found: https://github.com/theclassofai/Deep_Transfer_Learning/blob/master/Exercise1_Classification_DogvsCat_CNN_.ipynb

The Google Colab Python notebook has been used: To find out more about Colab, pleas see my videos:

It would mean so much to me if you subscribe to my Youtube channel! https://www.youtube.com/channel/UCYlOdJBJQN4c7k25uzwSwJA

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GitHub: https://github.com/theclassofai

Видео Binary Image Classification with CNN (Deep Learning) on Kaggle Dogs vs Cats Dataset канала The Class of AI
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24 марта 2020 г. 6:19:55
00:34:08
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