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Deep AutoViML for TensorFlow Models and MLOps Workflows

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

TensorFlow Courses Machine Learning Courses Deep Learning Courses Cloud Computing Courses Neural Networks Courses Keras Courses AutoML Courses MLOps Courses Data Preprocessing Courses Model Deployment Courses

Course Description

Overview

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Discover the power of Deep AutoViML in this comprehensive 1-hour 27-minute talk by Ram Seshadri, a Google Program Manager and popular ML instructor. Learn how this innovative deep learning library simplifies the creation of TensorFlow.Keras preprocessing pipelines and models for both novices and experts. Explore the library's architecture and see live demonstrations of building robust TF.Keras models for structured data, NLP, and image processing. Gain insights into streamlining MLOps workflows and effortlessly deploying saved models to cloud providers for out-of-the-box predictions. Whether you're a data scientist, ML engineer, or data engineer, this talk will equip you with the knowledge to fast-prototype TensorFlow models and data pipelines using the latest TF 2.4+ and Keras preprocessing layers.

Syllabus

Deep AutoViML For Tensorflow Models and MLOps Workflows


Taught by

Toronto Machine Learning Series (TMLS)

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