![[PyTorch] CNN on CIFAR10 Image Classification](https://machinelearningbrain.website/wp-content/uploads/2024/05/image.png)
In this article, we will be looking at how to build a Convolutional Neural Network for classifying images in CIFAR10 dataset. We will be using PyTorch for the implementation. Convolutional Neural Network A CNN is a deep learning technique commonly used for image classification tasks. It can recognize and classify particular features from images. At…
![[PyTorch]Building Feed-Forward Neural Network with MNIST Dataset](https://machinelearningbrain.website/wp-content/uploads/2024/03/Input-Layer.webp)
We will be implementing a multilayer feed-forward neural network that can do handwritten digit classification based on the famous MNIST dataset. Introduction Artificial neural networks(ANNs), as the name implies, are inspired by the biological brain, and the nervous system. ANNs are computational systems that can learn to perform tasks by looking at examples without being…
Artificial intelligence (AI) Artificial intelligence (AI) is essentially the intelligence of machines or systems. It is a branch of computer science that involves creating machines or intelligent agents with human-like thinking and behavior. AI-enabled systems can reason, learn, and act autonomously even going beyond human capability. AI is a broad term that uses data (information)…
How do you identify a cat from a dog?? Huh, what a stupid question! you will ask. You would have seen cats and dogs all throughout your life, so this will seem like a dumb question to you. What if a small kid asks you this question? How are you going to teach them to…
The activation function (sometimes called as “transfer function”) decides whether the neuron’s input to the network is relevant or not. It determines how the weighted sum of the input is transformed into an output. They are also called “squashing function” if the output range is limited.
The field of deep learning has seen some impressive advancement in recent times. In this article, we will briefly explain about deep learning and neural networks.
