TensorFlow Lite – Applying Machine Learning at the Edge

Welcome to Part 3 of my series on TensorFlow! If you haven’t had a chance to read Part 1 on TensorFlow and Google Colab or Part 2 on TensorFlow Serving, I highly recommend going back and checking those out. While this blog post can stand on its own, it would help to review those earlier…

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Tensorflow Serving – Machine Learning Like It’s Nobody’s Business

The Serving project from TensorFlow allows us to serve models using a REST API. If you are wondering how you can leverage all the work you put into building your models to apply to your existing applications, this is what you have been looking for. Here’s where Serving comes into practice.

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Generating Bad Movie Reviews with TensorFlow: Part 2 | Nathan Salazar | #30DaysofLearning

Generating Bad Movie Reviews with Tensorflow 2

In my last blog post, we discussed how to generate bad movie reviews using a text generator, where the input data was based on sequences of words. But you can also generate text by using an input sequence of individual characters, with a character-based RNN. This is particularly useful when trying to generate text that…

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