by Suf | Nov 15, 2024 | Machine Learning, Programming, PyTorch
Table of Contents Key Difference Behavior of torch.Tensor Behavior of torch.tensor Comparison Table Recommendation for Initialization of Tensors Further Reading Summary In PyTorch, both torch.Tensor and torch.tensor can be used to create tensors. However, there are...
by Suf | Nov 15, 2024 | Machine Learning, Programming, PyTorch
Introduction unsqueeze() in PyTorch is a function that adds a dimension of size one to a tensor. While this might sound simple, understanding when and why to use it is crucial for many deep learning tasks, especially when working with neural networks and preparing...
by Suf | Nov 14, 2024 | Machine Learning, Programming, PyTorch
Understanding gather() in PyTorch: A Beginner-Friendly Guide Table of Contents Introduction What is gather()? Syntax of gather() How the dim Argument Works Row-wise Selection with dim=1 Common Pitfalls and Errors Column-wise Selection with dim=0 The Book Shelf Analogy...
by Suf | Nov 13, 2024 | Programming, R, Statistics
Understanding the Two-Sample t-Test (Pooled Variance) Table of Contents Introduction to the Two-Sample t-Test Formulae for the Two-Sample t-Test When to Use a Two-Sample t-Test Performing a Two-Sample t-Test in R Practical Example Interpreting Results Assumptions and...
by Suf | Nov 11, 2024 | Programming, R, Statistics
How to Calculate a One-Proportion Z-Test in R Table of Contents Introduction to One-Proportion Z-Tests When to Use a One-Proportion Z-Test Formula for the One-Proportion Z-Test Calculating Left-Tailed, Right-Tailed, and Two-Tailed p-values from the Z-score Calculating...
by Suf | Nov 11, 2024 | Programming, R, Statistics
Table of Contents Introduction to One-Sample Z-Tests When to Use a One-Sample Z-Test Formula for the One-Sample Z-Test Calculating the One-Sample Z-Test in R Calculating the p-value from the Z-score Example Calculation Using an Array of Values Example Calculation...
