whitedec's Blog

2025-12-17

The Real Relationship Between NumPy and PyTorch in Deep‑Learning Code—and How to Learn Them in the Right Order

This guide clarifies the relationship between NumPy and PyTorch for deep‑learning developers. NumPy handles CPU‑based numerical work, data preprocessing, and visualization, while PyTorch provides GPU tensor operations with automatic differentiation. Understanding their memory sharing and conversion methods enables efficient, real‑world workflows.

#deep learning #pytorch #gpu #numpy +3

2025-12-16

NumPy Indexing & Slicing: Mastering Tensor Manipulation

A step-by-step guide to essential tensor indexing and slicing in NumPy and PyTorch—from 1D to 4D+—covering views vs. copies, boolean indexing, and integer array indexing with practical examples for immediate use in deep learning preprocessing and modeling.

#pytorch #numpy #data preprocessing #tensor +2

2025-12-15

NumPy ndarray Basics for Deep Learning Beginners: array, dtype, shape, reshape, astype

A deep dive into NumPy’s core `ndarray`: how to create arrays, set `dtype`, inspect `shape`, use `reshape`, and convert types with `astype`—all explained step by step with examples. A compact, must-know foundation for deep learning beginners.

#pytorch #numpy #ndarray #tensor +3

2025-12-15

NumPy for Deep Learning Beginners: Why It Comes Before PyTorch

NumPy is essential for deep learning beginners because it teaches the vector and matrix operations that underlie all neural network math. This guide explains why you should master NumPy before PyTorch, covering broadcasting, vectorization, and data preprocessing with clear examples.

#deep learning #pytorch #numpy #vectorization +2

2025-04-20

Setting Up a CUDA Environment for AI Development

This friendly guide explains the process of installing CUDA and cuDNN on Ubuntu for AI deep learning development and setting up a GPU environment, suitable for beginners.

#tensorflow #pytorch #cuda #nvidia

2025-01-17

Concepts of AI, Machine Learning, and Deep Learning and Introduction to Deep Learning Frameworks

Explore the concepts of AI, Machine Learning, and Deep Learning, along with an introduction to popular deep learning frameworks like TensorFlow and PyTorch.