Machine Learning
461 learners
Building a Neural Network in PyTorch
Embark on a journey to understand and build simple neural networks using PyTorch. This course explores neural networks, including essential concepts like layers, neurons, activation functions, and training a model. You’ll grasp these elements through progressive, interlocking code examples, culminating in the construction and evaluation of a simple neural network model for binary classification.
Python
PyTorch
Scikit-learn
5 lessons
24 practices
3 hours
Badge for Deep Learning and Neural Networks,
Deep Learning and Neural Networks
Course details
Initializing a Neural Network Model in PyTorch
Running a Simple Neural Network in PyTorch
Changing Network's Input and Output Sizes
Correcting PyTorch Neural Network Definition
Initialize and Instantiate a PyTorch Model
Building a 2-Layer Neural Network
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