Gradient Descent (GD)Gradient Descent (GD) is fundamental in training neural networks, enabling them to learn from data by updating the weights of the network…1d ago1d ago
Artificial Neural Networks(ANNs)An Artificial Neural Network (ANN) consists of several layers of nodes, which include an input layer, one or more hidden layers, and an…1d ago1d ago
Exploring Activation Functions: The Building Blocks of Neural NetworksActivation functions in neural networks serve as mapping mechanisms that transform the weighted sum of a neuron’s inputs into another…1d ago1d ago
Extracting patches from Whole Slide Images(WSI)Digital pathology has emerged with the digitization of patient tissue samples and in particular the use of digital whole slide images…Jul 9, 2021Jul 9, 2021
