pytorch 2D tensor and slicing

Gradient Descent in PyTorch Our biggest question is, how we train a model to determine the weight parameters which will minimize our…

Perceptron Model It is essential to know about the perceptron model and some key terms like cross-entropy, sigmoid gradient descent, and so…

Pytorch Hyperparameter Tuning Technique In the last topic, we trained our Lenet model and CIFAR dataset. We found that our LeNet model…

Perceptron Perceptron is a single layer neural network, or we can say a neural network is a multi-layer perceptron. Perceptron is a…

Prediction and linear class In this, we took a brief introduction to implement a machine learning based algorithm to train a linear…

Image Transforms in Image Recognition Loading and transformation are two main concepts which are essential to do image recognition in PyTorch. Loading…

Tensors Introduction Tensors are the key components of Pytorch. We can say PyTorch is wholly based on the Tensors. In mathematics, a…

Implementation of Deep Neural Network After knowing the process of Backpropagation lets start and see how a deep neural network is implemented…

Testing of Convolutional Neural Network Model In the last section, we implemented a neural network or created a model which classified the…

Implementation of Neural Network in Image Recognition Our next task is to train a neural network with the help of previously labeled…