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Multilayer Perceptron (MLP) are a fundamental building block of deep learning algorithms. In this video, we break down the structure and workings of MLPs, explaining how these networks learn from data. We’ll guide you through key concepts such as layers, weights, and activation functions, helping you understand how MLPs drive powerful machine learning models. 👉Subscribe to our new channel: / @varunainashots Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ►Design and Analysis of algorithms (DAA): • Design and Analysis of algorithms (DAA) ►Software Engineering (Complete Playlist): • Software Engineering ►Database Management System: • DBMS (Database Management system) Com... ►Cloud Computing: • Cloud Computing (Complete Course) ► Theory of Computation • TOC(Theory of Computation) ►Artificial Intelligence: • Artificial Intelligence (Complete Pla... ►Computer Networks (Complete Playlist): • Computer Networks (Complete Playlist) ►Operating System: • Operating System (Complete Playlist) ►Structured Query Language (SQL): • Structured Query Language (SQL) ►Discrete Mathematics: • Discrete Mathematics ►Compiler Design: • Compiler Design (Complete Playlist) ►Number System: • Number system ►Programming in C : • C Programming ►Data Structure: • Data Structure ►Computer Architecture : • Computer Organization and Architectur... ►Graph Theory (Complete Playlist): • Graph Theory ►Digital Logic: • Digital Logic (Complete Playlist) --------------------------------------------------------------------------------------------------------------------------------------- Our social media Links: ► Subscribe to us on YouTube: / gatesmashers ►Subscribe to our new channel: / @varunainashots ► Like our page on Facebook: / gatesmashers ► Follow us on Instagram: / gate.smashers ► Follow us on Instagram: / varunainashots ► Follow us on Telegram: https://t.me/gatesmashersofficial ► Follow us on Threads: https://www.threads.net/@gate.smashers -------------------------------------------------------------------------------------------------------------------------------------- ►For Any Query, Suggestion or notes contribution: Email us at: [email protected]