Aspire Journeys
Neural Networks with PyTorch
- 2 Courses | 1h 50m
- 2 Labs | 2h
In this Journey, you will begin by exploring the basics of neural networks with PyTorch and about neurons, bias, weights and activation functions. You will learn about binary cross-entropy loss and softmax, and master implementations of neural networks for regression and classification tasks with PyTorch,
Track 1: Introduction to PyTorch and Neural Networks
In this track of the PyTorch Aspire Journey, the focus will be on neural networks and implementing them using PyTorch.
- 1 Course | 55m
- 1 Lab | 1h
Track 2: PyTorch for Classification
In this track of the PyTorch Aspire Journey, the focus will be on using PyTorch to build neural network classification models
- 1 Course | 55m
- 1 Lab | 1h
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