Deep Learning - Convolutional Neural Networks with TensorFlow - CNNs for Text

The video tutorial explains how convolutional neural networks (CNNs), typically used for images, can be applied to sequences like text. It covers the basics of convolution, highlighting the differences between 2D and 1D convolution. The tutorial provides a simple example of 1D convolution and discusses the concept of cross-correlation. It also explains the dimensionality involved in convolution operations and offers different perspectives on understanding convolution. Finally, it demonstrates how to apply CNNs to text using embeddings, following a typical CNN architecture.

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