PyTorch Tutorial 4: Building our first Neural Network
Google colab: https://colab.research.google.com/
Github Tutorial Repo: https://github.com/viibrem/yt_tutorials
Connect with me on LinkedIn: / rashaad-meyer
In this video, we're going to build on what we learned in the previous video about making a single neuron and take it to the next level by building multiple neurons. We'll start by creating a neural network layer, which is a group of neurons that work together to process information. We'll explore the different components of a neural network layer, including the input layer, hidden layers, and output layer, and learn about the connections between neurons that allow them to communicate with each other. We'll dive into the process of stacking them together sequentially to create a deep neural network.
Throughout the video, we'll be coding in Python using the PyTorch library, and you'll get to see firsthand how to create a neural network layer and stack them together to create a deep neural network. Whether you're new to neural networks or looking to expand your knowledge, this video will provide you with a solid foundation for building your own neural networks.
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