Introducing Deep Learning with MATLAB

Deep learning is getting a lot of attention these days, and for good reason. It’s achieving unprecedented levels of accuracy—to the point where deep learning algorithms can outperform humans at classifying images and can beat the world’s best GO player.

If you are interested in using deep learning technology for your project, but you’ve never used it before, where do you begin?

Should you spend time using deep learning models or can you use machine learning techniques to achieve the same results? Is it better to build a new neural network or use an existing pretrained network for image classification? What deep learning framework should you use?

This short ebook is your guide to the basic techniques. You’ll see that deep learning is within your grasp—you don’t need to be an expert to get started.

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In this ebook, you will learn:

arrow, arrows, direction, right Machine learning vs. deep learning


arrow, arrows, direction, right Convolutional neural networks (CNNs)


arrow, arrows, direction, right Using a pretrained network like AlexNet for       

       image recognition and image classification


arrow, arrows, direction, right Access to examples, tutorials, and software

       to try deep learning yourself

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[eBook] Introducing Deep Learning with MATLAB

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Develop Deep Learning project with MATLAB, Simulink, and a full set of products for Deep Learning.

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