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Deep Neural Networks with PyTorch

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. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.

Created by IBM


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What you’ll learn


Through this learning opportunity you may acquire the compentencies sought by employers today. The most relevant technique within the educational resource that is often mentioned from organizations is Data Modeling. The most in demand tool is Python.

Who will benefit?


Mapping material from this learning opportunity with nearly 10,000 data-related job descriptions, we discover that those in or pursuing Data Scientist roles have the most to gain.