Multi-Layer Perceptrons and MNIST Digit Classification Using PyTorch - Lab 2.2

Multi-Layer Perceptrons and MNIST Digit Classification Using PyTorch - Lab 2.2

Donato Capitella via YouTube Direct link

- Classifying Hand-Written Digits PyTorch, MNIST dataset

5 of 7
Previous
Next

5 of 7

- Classifying Hand-Written Digits PyTorch, MNIST dataset

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Multi-Layer Perceptrons and MNIST Digit Classification Using PyTorch - Lab 2.2

Automatically move to the next video in the Classroom when playback concludes
  1. 1 - Basic implementation of MLP layer with matrix multiplication
  2. 2 - Reshaping the Input Tensor
  3. 3 - Implementing Bias and Activations
  4. 4 - PyTorch Linear Layers
  5. 5 - Classifying Hand-Written Digits PyTorch, MNIST dataset
  6. 6 - Using GPUs with PyTorch
  7. 7 - Outro

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.