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Udemy - Deep Learning In Practice II - Transfer Learning Projects
TORRENT SUMMARY
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Develop complex deep learning projects using Transfer Learning
Efficiently organize and structure deep learning projects
Develop reusable libraries to reduce development time of deep learning projects
Understand how to perform efficient training of classification projects with Transfer Learning
Compare between deep learning models
Learn State of the Art Classification Models
Conduct training on local machine and Google Colab
Requirements
Understand the basic concepts of machine learning (recommended, but not required)
Be familiar with Python programming language and data structures (Numpy, Pandas)
Understand the basic concepts of neural networks (recommended)
Description
You want to start developing deep learning solutions, but you do not want to lose time in mathematics and theory?
You want to conduct deep learning projects, but do not like the hassle of tedious programming tasks?
Do you want an automated process for developing deep learning solutions?
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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[ FreeCourseWeb.com ] Udemy - Deep Learning in Practice II - Transfer Learning Projects.zip
