In this tutorial, you’ll learn how to use transfer learning in PyTorch by fine-tuning a pretrained CNN model (ResNet18) to perform image classification. This is ideal for beginners exploring deep learning with real-world image data. What is Transfer Learning? Transfer learning is a technique where you take a model pretrained on a large dataset (like …
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In this tutorial, you’ll learn how to implement binary classification with Keras using the Sequential model. This beginner-friendly guide walks you through data prep, model building, training, and prediction—all using standalone Keras. Binary classification is a supervised learning task where we classify data into one of two classes (e.g., Spam or Not Spam, Fraud or …
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Have you ever considered why PyTorch is such a favorite for building neural networks? It’s not just because it has a clean and easy-to-read syntax! PyTorch makes it fun and accessible for everyone, whether you’re just starting or a seasoned machine learning pro. Let’s take a closer look at how PyTorch helps you create a …
Linear Regression Python Fundamentals: Build Models from Scratch Hello everyone, in this tutorial you will learn how to Implement a Linear Regression Model from Scratch in Python without using libraries like scikit-learn. What are we building in this project? We are building a linear regression model from scratch using Python for this project. In this …
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