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Articles tagged with #neural-networks
In this article, we will learn about using CNNs in PyTorch. We will use the standard CIFAR10 dataset and perform image classification on it. Importing Libraries import torch import matplotlib.pyplot as plt import numpy as np Data loading import torc...
In this article, we will see in how many ways we can implement Feed Forword Neural Networks in PyTorch. For this we will be using a three neurons network that takes two input features and gives output through the last neuron as shown in fig. Importi...
In this article, we are going learn how to use ridge regression algorithm using neural networks and then compare the results we get with an RidgeRegressor model that comes built-in sklearn module. import numpy as np import matplotlib.pyplot as plt ...
What is Neural Style Transfer? It is a process of applying a new artistic style on an existing original image by using a pre-trained neural network, usually a convolutional neural network. e.g, AlexNet, VGG19, SqueezeNet etc. How does it works? Take...
What are GANs? It stands for Generative-Adversarial Networks. Consists of two neural networks contesting against each other. These GANs can be used to generate real looking pictures and videos of virtually anything. Two contesting neural networks are...
