Machine Learning - Back Propagation Algorithm Solved Example in Artificial Intelligence by Vidya Mahesh Huddar

Back Propagation Algorithm Solved Example in Artificial Intelligence by Vidya Mahesh Huddar Consider a multilayer feed-forward neural network as shown in the figure. Let the learning rate be 0.5. Train the network for the training tuple (1, 1, 0) where last number is target output. Show weight and bias updates by using back-propagation algorithm. Assume that sigmoid activation function is used in the network. Back Propagation Algorithm: https://youtu.be/zAPHIAGBjwE Derivation of Back Propagation Algorithm: https://youtu.be/XN5IRqtFhOY #1 Solved Example Back Propagation Algorithm: https://youtu.be/tUoUdOdTkRw #2 Solved Example Back Propagation Algorithm: https://youtu.be/n2L1J5JYgUk #3 Solved Example Back Propagation Algorithm: https://youtu.be/AWhboi1aTxI #4 Solved Example Back Propagation Algorithm: https://youtu.be/C3EQuy0jBGw #5 Solved Example Back Propagation Algorithm: https://youtu.be/3_jbEpZ_bkU Back Propagation Algorithm with bipolar weights: https://youtu.be/otEGgxlh_EY Multi-Layer Perceptron LearningSolved Example: https://youtu.be/ItkSCYzSD34 Multi-Layer Perceptron Learning: https://youtu.be/tTjcakAuHPI Gradient Descent Algorithm: https://youtu.be/MUoEv1Hv0KM ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates