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What is Understanding Convolutional Neural Networks about?

Chapter 23 covers Convolutional Neural Networks (CNNs), which are specifically designed for image recognition and computer vision tasks, addressing the limitations of traditional neural networks with image data. It explains the architecture and key components of CNNs, including convolutional layers, activation functions, and pooling layers, as well as providing a practical example of building a CNN using Keras. The chapter concludes with best practices for training CNNs and a preview of the next chapter on

Author

mishra.partha7

Language

EN