The TensorFlow ecosystem has become very popular for developing applications involving deep learning. One of the reasons is that it has a strong community and a lot of tools have been developed around the core library to support developers. In this tutorial, I will guide you through how to prototype models in google colab, train it on Google Cloud AI Platform, and deploy the finalized model on Google Cloud AI Platform for production. I will include the working Google colab notebooks to recreate the work.

Google colab is a free resource for prototyping models in TensorFlow and comes with various runtime. Preparing a machine with GPU or TPU could be costly to start with however users can start with free GPU with google colab. Bear in mind, colab has limited resources and might not be suitable for properly training models requiring large compute resources. Nonetheless, colab is a perfect tool for prototyping your models and some initial experimentation.

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