Abstract

After finishing Part 2 of Deep Learning Pipeline, you are ready now to build your pipeline. You now see the whole picture, but it's fair to tell you that you are missing some parts in each approach, and we will fill the gaps by giving you some advanced concepts in both natural language processing and computer vision. Then we will give you some examples, using different types of datasets to ensure that you can apply a deep learning pipeline correctly and easily.

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