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Hands-On Transfer Learning with TensorFlow 2.0

You're reading from Hands-On Transfer Learning with TensorFlow 2.0 Transfer experience from models using TensorFlow 2.0

Product type Video

Published in May 2020

Publisher Packt

ISBN-13 9781789953947

Length 1hr 25mins

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Data Science

Author (1):

Margaret Maynard-Reid

View More author details

Table of Contents (4) Chapters

1. Image Classifier from Scratch with TensorFlow 2.0

2. Transfer Learning with tf.keras FREE CHAPTER

3. Transfer Learning with TensorFlow Hub

4. TFLite Model Maker

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Authors (1)

Margaret Maynard-Reid

Margaret Maynard-Reid

Margaret Maynard-Reid is a Google Developer Expert (GDE) for Machine Learning, contributor to TensorFlow open-source ML framework and the author of the TensorFlow Medium publication. She writes blog posts and speaks at conferences about on-device ML, deep learning, computer vision, TensorFlow, and Android. Margaret leads the Google Developer Group (GDG) Seattle and Seattle Data/Analytics/ML and is passionate about helping others get started with AI/ML. She has taught in the University of Washington Professional and Continuing Education program. For several years, she has been working with TensorFlow, and has contributed to its success by testing and organizing the Global Docs Sprint project.

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