Keras: Shortcut to AI mastery

This workshop will explore the powerful Keras 3 API and walk through deep learning best practices, how to write a simple model, and run it with a backend of your choice, including PyTorch, TensorFlow, or JAX. You’ll also learn about the KerasNLP and KerasCV modules and how to build powerful AI applications, including generative image and language models, with just a few lines of code.

Thank you for watching Women in Machine Learning 2023.

Speaker: Divyashree Sreepathihalli

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[mohammadhassanheidary]

Perfect, Thanks for clarification of the new KerasCV library

[asuagar]

Thank you for this fantastic talk. It helped me decide to choose Keras for my reserach projects.

However, could there be an error at 11:00 in the code The `inputs` argument used in that cell was defined in the previous one. I believe it should be `keras.Model(inputs=[input_1, input_2], ...)` instead.

[MaxM]

A solid overview of the new Keras V3. Really appreciate a back to basics tutorial especially when this seems to be a big change for Keras. Will there be documentation on exporting and loading pretrained models from huggingface to keras and training them for downstream tasks (especially for non tensorflow models)? I do think keeping kerasCV & KerasNLP modules separate from the main keras module is a mistake because they contain features and models that are in high demand (and wont fade away anytime soon).