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Building a simple Neural Network to solve a Univariate Regression problem in PyTorch

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n0obcoder/Fitting-a-Straight-Line-on-2D-Data-In-PyTorch

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Building a simple Neural Network to solve a Univariate Regression problem in PyTorch

The main focus of this repository is to showcase the flow of building and training a basic Neural Network in PyTorch.

Step 1: Generating Synthetic 2D Data

Generating Synthetic 2D Data

Step 2: Defining the Model Architecture

Step 3: Defining a Loss Function and an Optimizer

Step 4: Training the Model and Plotting the Loss

Training the Model and Plotting the Loss

Step 5: Visualizing the Straight Line Learnt by the Model

Visualizing the Straight Line Learnt by the Model

Visualizing the Slope and the Intercept during the Training of the Model

Visualizing the Slope and the Intercept during the Training of the Model

Important Links

Medium Blog:https://medium.com/@animesh7pointer/fitting-a-straight-line-on-2d-data-in-pytorch-78d0e3450876

Kaggle Kernel:https://www.kaggle.com/n0obcoder/fitting-a-straight-line-on-2d-data-in-pytorch

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Building a simple Neural Network to solve a Univariate Regression problem in PyTorch

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