An Intuitive Introduction to Transformers
In this blog post we take an in depth look at the Transformer model architecture, and demo its functionality by rebuilding the model from scratch in Python.
16 days ago
Neural Network
Feed-forward vs feedback neural networks
In this blog post we explore the differences between deed-forward and feedback neural networks, look at CNNs and RNNs, examine popular examples of Neural Network architectures, and their use cases.
18 days ago
Understanding & Interpreting Convolutional Neural Network Architectures
In this article, we explore concepts related to convolutional neural network architectures with the intention of building our understanding enough to create and understand the capabilities of an AlexNet model, from scratch.
a month ago
Featured
public
Tutorial
Filters In Convolutional Neural Networks
This blog details different techniques for filtering image data and explores what these filters actually do to an image as it passes through the layers of a Convolutional Neural Network (CNN). https://blog.paperspace.com/filters-in-convolutional-neural-networks/
2 months ago
Featured
public
Tutorial
Padding In Convolutional Neural Networks
In this article, we explore how and why we use padding in CNNs in computer vision tasks. We'll then jump into a full coding demo showing the utility of padding.
2 months ago
Featured
public
Tutorial
Writing ResNet from Scratch in PyTorch
In this continuation on our series of writing DL models from scratch with PyTorch, we learn how to create, train, and evaluate a ResNet neural network for CIFAR-100 image classification.
By
Nouman
Featured
public
Tutorial
Writing VGG from Scratch in PyTorch
In this continuation on our series of writing DL models from scratch with PyTorch, we look at VGG. Follow this tutorial to learn how to create, train, and evaluate a VGG neural network for CIFAR-100 image classification
By
Nouman
Featured
public
Tutorial
Writing AlexNet from Scratch in PyTorch
Learn how to write and implement AlexNet from scratch in Gradient!
By
Nouman
Featured
public
Tutorial
Constructing Neural Networks From Scratch: Part 1
Learn how to construct neural networks from scratch with NumPy, and simultaneously see how the internal mechanisms behind popular libraries like PyTorch and Keras are implemented.
By
Bharath K