Zieg Heil
Linkedin.Learning.Transfer.Learning.for.Images.Using.PyTorch.Essential.Training-ZH
Title: Transfer Learning for Images Using PyTorch: Essential Training
Publisher: Linkedin.Learning
Size: 126M (131916140 B)
Files: 3F
Date: 10/08/2019
Course #: Linkedin.Learning
Type: N/A
Published: October 8, 2019
Modified: N/A
URL: www.linkedin.com/learning/transfer-learning-for-images-using-pytorch-essential-training
Author: Jonathan Fernandes
Duration:
Skill: Intermediate
Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Of course we know its sieg heil, thats how fucking rebelious we are!
Description:
After its debut in 2017, PyTorch quickly became the tool of
choice for many deep learning researchers. In this course,
Jonathan Fernandes shows you how to leverage this popular
machine learning framework for a similarly buzzworthy
technique: transfer learning. Using a hands-on approach,
Jonathan explains the basics of transfer learning, which
enables you to leverage the pretrained parameters of an
existing deep-learning model for other tasks. He then shows how to
implement transfer learning for images using PyTorch,
including how to create a fixed feature extractor and freeze
neural network layers. Plus, find out about using learning rates
and differential learning rates.
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