When I set out to write the 2nd edition of Deep Learning with Python, I thought it would be roughly the same length, and about 50% new content. Now that the draft is done: it's almost 2x longer and it's ~75% new content. Overall it's a lot more in-depth than the first edition.
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Much awaited. Will it over Object Detection, Segmentation, Attention, Transformer, etc.
It has image segmentation, attention, and Transformers. Not object detection though
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Aw, that's a pity! Object detection & instance segmentation models have a lot of moving parts and weird tricks. It would have been really interesting to read your take on the topic!
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Amazing book François! I have been reading the MEAP version of your book. I was hoping when ch9 came out it would address object detection from your perspective. Any reading/course recommendations for implementing object detection in TF/Keras?
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If you want to do things from scratch, check this: https://keras.io/examples/vision/retinanet/ … For a ready-made solution, you can see the TF Model Garden
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