Backpropagation For Neural Networks Explained | Deep Learning Tutorial
In this Deep Learning tutorial, we learn about the Backpropagation algorithm for neural networks. Get your Free Token for AssemblyAI Speech-To-Text API ? https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_5 Backpropagation is probably the most important concept in deep learning and is essential for the training process of a neural network. Today we have a look at what Backpropagation is and how it works. We then walk you through an example with concrete numbers to better understand the theory behind the algorithm. Slides: https://github.com/AssemblyAI/youtube-tutorials Timestamps: 00:00 Introduction 00:39 Definition 01:44 Computational Graph 02:24 Chain Rule 03:03 Backpropagation algorithm 04:18 Example calculation 07:29 Outro
In this Deep Learning tutorial, we learn about the Backpropagation algorithm for neural networks. Get your Free Token for AssemblyAI Speech-To-Text API ? https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_5 Backpropagation is probably the most important concept in deep learning and is essential for the training process of a neural network. Today we have a look at what Backpropagation is and how it works. We then walk you through an example with concrete numbers to better understand the theory behind the algorithm. Slides: https://github.com/AssemblyAI/youtube-tutorials Timestamps: 00:00 Introduction 00:39 Definition 01:44 Computational Graph 02:24 Chain Rule 03:03 Backpropagation algorithm 04:18 Example calculation 07:29 Outro