Senash Thenujasenathenu.hashnode.dev·Nov 10, 2023Math Behind Backpropagation and Gradient DescentSo, you're ready to dive into the Math stuff behind neural networks (NNs)? Lucky you! You've come to the right place! Yet, before you begin, make sure that you meet the following prerequisites Linear algebra Advanced differentiation (especially, th...Discuss·2 likesAI Stuffneural networks
Aaditya Champaneriaaditechtalk.hashnode.dev·Sep 16, 2023🤖 Day 3 of #30DaysOfAIwithAadiJourney into Neural Networks and Backpropagation Today, let's delve into the fascinating world of neural networks and the ingenious technique called backpropagation. These concepts are the backbone of modern machine learning and deep learning, drivin...Discuss30DaysOfAIwithAadi
Manoj Kumardev-seek.hashnode.dev·May 21, 2023Neural NetworksWhat is a neural network? A neural network is just a mathematical function, which contains some layers. "No Worries we will discuss more about layers in this blog" Let's Consider a simple function that does : Multiplies each input by several values....Discuss·127 readsMachine Learning
Dr. Himanshu Raihimanshuraiml.hashnode.dev·Mar 30, 2023Artificial Neural Networks -Part2: Feed Forward and BackpropagationDeep dive to unravel the mystery of Neural Networks, stepping outside the theoretical boundaries. A lot has been said and written about Neural Networks (NNs) in recent years — right from the concept of Perceptron to the complex Multilayer Architectu...Discuss·57 readsMachine LearningMachine Learning
Joy Krishan Dasjoykrishan.hashnode.dev·Mar 18, 2023Into the heart of Multi-Layer Perceptron Neural Networks (Part-2)Previously, in Part - 1, we completed a forward pass through one neuron and computed the output value. $$\hat{Y} = tanh(w_1x_1 + w_2x_2 + b)$$Now, we will calculate the gradients of parameters [w1, w2, b] using backpropagation. What is Backpropagatio...Discuss·61 readsneural networks
Avinash Navlanimachine-learning-geek.hashnode.dev·Nov 26, 2022Backpropagation Network using PythonBackpropagation neural network is used to improve the accuracy of neural network and make them capable of self-learning. Backpropagation means “backward propagation of errors”. Here error is spread into the reverse direction in order to achieve bette...Discuss·1 like·67 readsbackpropagation neural netowrk
