Aspire Journeys

Neural Networks with PyTorch

  • 2 Courses | 1h 50m
  • 2 Labs | 2h
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
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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