Tarique AkhtarPython implementation of Activation function for Neural NetworkAn activation function in a neural network is a mathematical function applied to the output of a neuron or a layer of neurons. It…May 24, 20232
LM PoBackpropagation: The Backbone of Neural Network TrainingBackpropagation, short for “backward propagation of errors,” is a fundamental algorithm in the training of deep neural networks. It…Sep 14Sep 14
Rukshan PramodithainData Science 365Overview of a Neural Network’s Learning ProcessNeural Networks and Deep Learning Course: Part 8Feb 1, 20223Feb 1, 20223
Sankalp SalveTraining an Artificial Neural Network (ANN) is like teaching a child how to ride a bicycle.Choosing the right optimizer is crucial because it determines how your model will learn from the data. In this blog, we’ll explore the…Aug 27Aug 27
Tarique AkhtarPython implementation of Activation function for Neural NetworkAn activation function in a neural network is a mathematical function applied to the output of a neuron or a layer of neurons. It…May 24, 20232
LM PoBackpropagation: The Backbone of Neural Network TrainingBackpropagation, short for “backward propagation of errors,” is a fundamental algorithm in the training of deep neural networks. It…Sep 14
Rukshan PramodithainData Science 365Overview of a Neural Network’s Learning ProcessNeural Networks and Deep Learning Course: Part 8Feb 1, 20223
Sankalp SalveTraining an Artificial Neural Network (ANN) is like teaching a child how to ride a bicycle.Choosing the right optimizer is crucial because it determines how your model will learn from the data. In this blog, we’ll explore the…Aug 27
PradyumnaSimple Neural Network in Python from ScratchImplementing a Neural Network from Scratch without using TF or Pytorch: A Step-by-Step GuideFeb 222
Suraj YadavIn-Depth Knowledge of Convolutional Neural NetworksFind all about Convolutional Neural Networks.Jun 20, 20221
