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Deep Learning Tutorial Series

version 1.1.0.0 (23.3 KB) by MathWorks Deep Learning Toolbox Team
Download code and watch video series to learn and implement deep learning techniques

17.3K Downloads

Updated 05 Dec 2017

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Editor's Note: This file was selected as MATLAB Central Pick of the Week

The code provides hands-on examples to implement convolutional neural networks (CNNs) for object recognition. The three demos have associated instructional videos that will allow for a complete tutorial experience to understand and implement deep learning techniques.
The demos include:
- Training a neural network from scratch
- Using a pre-trained model (transfer learning)
- Using a neural network as a feature extractor
The corresponding videos for the demos are located here: https://www.mathworks.com/videos/series/deep-learning-with-MATLAB.html
The use of a GPU and Parallel Computing Toolbox™ is recommended when running the examples. Demo 3 requires Statistics and Machine Learning Toolbox™ in addition to the required products below.

Cite As

MathWorks Deep Learning Toolbox Team (2021). Deep Learning Tutorial Series (https://www.mathworks.com/matlabcentral/fileexchange/62990-deep-learning-tutorial-series), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: Training 3D CNN models

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