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Deep Learning with PyTorch Linear Regression model from scratch
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=dF0sUQc2ZuY
Linear Regression Implementation with PyTorch | Full Deep Learning Tutorial - Beginner to advanced. • Complete Deep Learning with PyTorch Playlist : • Deep Learning with PyTorch • 🚀 Key features of this series : • Watch live hands-on tutorials on YouTube • Train models using Google Colab on GCP for free! • Build an end-to-end real-world course project • 2.1. Linear Regression Implementation • In this tutorial, we implement linear regression model from scratch using PyTorch tensors. We also conduct optimization process (Gradient Descent) to learn the model parameters (weights and biases). • 🎯 Topics covered in this video: • ⌨️ Introduction, NumPy arrays vs Tensors. • ⌨️ Intro. to sample data that we are considering. Neural network architecture for linear regression model. • ⌨️ Linear regression implementation - forward and backward pass. • ⌨️ Gradient descent process • ⌨️ Putting it all-together. Conduct the whole training process. • ⌨️ Conclusion and motivation for creating a MLP model. • Time Breaks: • 00:00 Introduction, NumPy arrays vs Tensors. • 01:34 Dataset, NN architecture for linear regression. • 05:31 Linear regression, gradient descent implementation. • 16:14 Putting it all-together. • 19:32 Conclusion and next steps. • Resources: • 🔗 Code : https://github.com/mohangollapalli/dl... • -- • Learn Data Science the right way at https://www.simplifiedailabs.com/ • Subscribe for new videos on AI and ML @SimplifiedAICourse • #deeplearning #machinelearning #pythonfordatascience #python #pytorch #datascience #SimplifiedAICourse
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