Summary

In this chapter, we learnt about Deep Learning and CNNs. We discussed what CNNs are and why we need them. We talked about the architecture of CNNs. We learnt about the various type of layers used within a CNN. We discussed how to use TensorFlow. We used it to build a perceptron-based linear regressor. We learnt how to build an image classifier using a single layer neural network. We then built an image classifier using a CNN.

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