Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
-
Updated
Feb 19, 2024 - Jupyter Notebook
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
A jupyter notebook is provided for in-depth explanation.
Collection of notebooks I made on deep learning topics.
Notebooks for the SBME25 Deep Learning Fundamentals course
This repository focuses on implementing various machine learning techniques for Intrusion Detection Systems (IDS) in cybersecurity. It includes Jupyter Notebooks demonstrating methods like Isolation Forest, K-Means clustering, and Principal Component Analysis (PCA). Written in Python, it provides practical insights into anomaly detection.
Add a description, image, and links to the sgd topic page so that developers can more easily learn about it.
To associate your repository with the sgd topic, visit your repo's landing page and select "manage topics."