Deep Neural Networks

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Deep Learning with Python and PyTorch (edX)

Self Paced
Deep Learning with Python and PyTorch (edX)
Course Auditing
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This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. In the first course, you learned the basics of PyTorch; in this course, you will learn how to build deep neural networks in PyTorch. Also, you will learn how [...]
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Deep Neural Networks with PyTorch (Coursera)

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression.
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Coursera)

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow.
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Intro to Deep Learning with PyTorch (Udacity)

Self Paced
Intro to Deep Learning with PyTorch (Udacity)
Free Course
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Use PyTorch to implement your first deep neural network. In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text [...]
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