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Create a Basic Neural Network Model - Deep Learning with PyTorch 5

Create a Basic Neural Network Model - Deep Learning with PyTorch 5

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Transformers, the tech behind LLMs | Deep Learning Chapter 5

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Let's build GPT: from scratch, in code, spelled out.

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PyTorch for Deep Learning & Machine Learning – Full Course

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Neural Networks Explained in 5 minutes

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I Built a Neural Network from Scratch

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Attention in transformers, step-by-step | Deep Learning Chapter 6

Attention in transformers, step-by-step | Deep Learning Chapter 6

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Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2026 | Simplilearn

Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2026 | Simplilearn

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Neural Networks from Scratch - P.4 Batches, Layers, and Objects

Neural Networks from Scratch - P.4 Batches, Layers, and Objects

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🎓 Featured Course Guide & Lesson Notes: Create a Basic Neural Network Model - Deep Learning with PyTorch 5

Top Result #1

Instructor: John Elder  |  Runtime: 15:40 mins  |  Students / Views: 639,961

In this video we'll start to build a very basic Neural Network using Pytorch and Python. We'll eventually use the Iris dataset to classify Iris flower pictures. In this video we'll start to build out our Model, define our neuron layers, and our forward function. #pytorch #codemy #JohnElder Timecodes 0:00​​ - Introduction 0:45 - Iris Dataset 1:35 - Neural Network Overview 4:47 - Import Torch and NN 5:22 - Create Model Class 8:00 - Build Out The Model 10:44 - Build Forward Function 13:00 - Seed Randomization 13:43 - Create Model Instance 14:03 - Troubleshoot Errors 15:00 - Conclusion Key Highlights & Overview: Learning <strong>Deep Learning From Scratch 5</strong> requires clear step-by-step guidance and practical hands-on visual demonstrations. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.