NumPy & Neural Network Experiments in Python | Full Practical Guide DAY 1
Автор: Skill-Plus
Загружено: 2025-08-30
Просмотров: 28
Описание:
In this video, we walk through a complete set of Python experiments using NumPy and Matplotlib to understand the foundations of array manipulation, dot products, perceptrons, activation functions, and neural networks. Each experiment is explained with theory, code, output, and applications, making it perfect for beginners in Data Science, Machine Learning, and Deep Learning.
🔹 What You’ll Learn in This Video:
✅ Array creation, reshaping, and slicing with NumPy
✅ Dot product simulation (weights × inputs in ML models)
✅ Heatmap visualization of matrices using Matplotlib
✅ Basic Perceptron implementation for OR logic gate
✅ Sigmoid, Tanh, and ReLU activation function plots
✅ Manual 2-layer Neural Network implementation (XOR problem)
✅ Forward & Backward propagation explained step-by-step
✅ Plotting and analyzing the Loss Curve during training
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
![Почему работает теория шести рукопожатий? [Veritasium]](https://image.4k-video.ru/id-video/ggI1xKzoANs)
