Update index.md (#23805)
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@ -13,3 +13,8 @@ CNNs are biologically inspired models on how mammals visually perceive things. W
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- Stanford CS231n [Lecture 9 CNN Architectures](https://www.youtube.com/watch?v=DAOcjicFr1Y&t=2384s)
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- Stanford CS231n [Lecture 9 CNN Architectures](https://www.youtube.com/watch?v=DAOcjicFr1Y&t=2384s)
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- Udacity Deep learning : [Convolutional netwoks](https://www.youtube.com/watch?v=jajksuQW4mc)
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- Udacity Deep learning : [Convolutional netwoks](https://www.youtube.com/watch?v=jajksuQW4mc)
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- Andrew Ng's DeepLearning.ai: [Convulational Neural Networks](https://www.coursera.org/learn/convolutional-neural-networks/)
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- Andrew Ng's DeepLearning.ai: [Convulational Neural Networks](https://www.coursera.org/learn/convolutional-neural-networks/)
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### E-Texts :
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- Intro to Machine Learning (http://ciml.info/)
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- Understanding Neural Networks (http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf)
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