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Introduction to Feed Forward Neural Network with PyTorch | PyTorch Tutorial

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Welcome to our PyTorch tutorial series! In this video, we'll dive into the fundamentals of neural networks by exploring the simple yet powerful Feed Forward Neural Network (FFNN) using PyTorch.
Neural networks are the backbone of modern artificial intelligence and machine learning applications, and understanding their basics is crucial for any aspiring data scientist or machine learning enthusiast.
In this beginner-friendly tutorial, we'll start by covering the foundational concepts behind neural networks, including neurons, activation functions, and layers. Then, we'll introduce PyTorch, a popular open-source machine learning library known for its flexibility and ease of use.
Throughout the video, we'll walk you through the step-by-step process of building a simple feed forward neural network using PyTorch.
Neural networks are the backbone of modern artificial intelligence and machine learning applications, and understanding their basics is crucial for any aspiring data scientist or machine learning enthusiast.
In this beginner-friendly tutorial, we'll start by covering the foundational concepts behind neural networks, including neurons, activation functions, and layers. Then, we'll introduce PyTorch, a popular open-source machine learning library known for its flexibility and ease of use.
Throughout the video, we'll walk you through the step-by-step process of building a simple feed forward neural network using PyTorch.