by Suf | Nov 25, 2024 | GPU, Machine Learning, Programming, Python, PyTorch
Introduction PyTorch is a versatile and widely-used framework for deep learning, offering seamless integration with GPU acceleration to significantly enhance training and inference speeds. This guide walks you through setting up PyTorch to utilize a GPU, using Google...
by Suf | Nov 23, 2024 | Data Science, Machine Learning, PyTorch
Table of Contents Introduction The MNIST Challenge Prerequisites Dataset Overview Exploratory Data Analysis (EDA) Building the Model Training the Model Model Evaluation Results Visualization Error Analysis Conclusion and Future Work Introduction Logistic regression is...
by Suf | Nov 21, 2024 | Data Science, Python, Statistics
How to Calculate a One-Proportion Z-Test in Python Table of Contents Introduction to One-Proportion Z-Tests Calculating the One-Proportion Z-Test in Python Calculating the Power Calculating the Effect Size Assumptions and Limitations Conclusion Try the One-Proportion...
by Suf | Nov 21, 2024 | Machine Learning, Programming, PyTorch
Introduction ReLU (Rectified Linear Unit) revolutionized deep learning with its simplicity and efficiency, becoming the go-to activation function for neural networks. Defined as f(x) = max(0, x), ReLU activates only positive inputs, solving issues like vanishing...
by Suf | Nov 20, 2024 | Data Science, Programming, R, Tips
Table of Contents Introduction The Basics of set.seed() Why Use set.seed()? Best Practices Common Use Cases Troubleshooting Advanced Usage: Random Number Generators (RNGs) in R Conclusion Introduction In R programming, reproducibility is crucial for scientific...
by Suf | Nov 17, 2024 | Machine Learning, Programming, Python, PyTorch
Contents Introduction Understanding the Error Common Causes Example to Reproduce Error Inception v3 Specific Requirements Complete Working Solution Best Practices Introduction When working with pre-trained models in PyTorch, particularly convolutional neural networks,...
