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Syllabus: Natural Language Processing - Tokenization (NLP Zero to Hero - Part 1).Sequencing - Turning sentences into data (NLP Zero to Hero - Part 2).Training a model to recognize sentiment in text (NLP Zero to Hero - Part 3).ML with Recurrent Neural Net…
Syllabus: Recommendation systems overview (Building recommendation systems with TensorFlow).Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow).Intro to TensorFlow Recommenders (Building recommendation…
Syllabus: Inside TensorFlow: Parameter server training.Inside TensorFlow: TF NumPy.Inside TensorFlow: Building ML infra.Inside TensorFlow: Quantization aware training.Inside TensorFlow: New TF Lite Converter.Inside TensorFlow: TF Debugging.Inside TensorF…
In this course, you will learn about TensorFlow Extended (TFX). You will learn about ML engineering for production ML deployments with TFX, how TFX pipelines work, why we need metadata, distributed processing and components, model understanding and busin…
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