scrapbook
search
Ctrlk
  • "Unorganized" Notes
  • The Best Public Datasets for Machine Learning and Data Science
  • Practice Coding
  • plaid-API project
  • Biotechchevron-right
  • Machine Learning for Computer Graphics
  • Books (on GitHub)
  • Ideas/Thoughts
  • Ziva for feature animation: Stylized simulation and machine learning-ready workflows
  • Tools
  • 🪶math
    • Papers
    • Math for ML (coursera)chevron-right
    • Improving your Algorithms & Data Structure Skills
    • Algorithms
    • Algorithms (MIT)chevron-right
    • Algorithms (khan academy)chevron-right
    • Algorithms (udacity)chevron-right
    • Udacitychevron-right
    • math-noteschevron-right
    • Probability (MIT)chevron-right
    • Statistics and probability (khan academy)chevron-right
    • Statistics (hackerrank)chevron-right
  • 📽️PRODUCTchevron-right
  • 👨‍💻coding
    • of any interest
    • Maya APIchevron-right
    • Pythonchevron-right
    • Python in CG Production
    • GLSL/HLSL Shading programming
    • Deep Learning Specializationchevron-right
    • TensorFlow for AI, ML, and DLchevron-right
    • GitHubchevron-right
    • Agile - User Stories
    • The Open-Source Data Science Masters
    • Coding Challenge Websites
    • Coding Interviewchevron-right
    • spaCy
    • Pandas
    • Python Packages
    • Juliachevron-right
    • macos
    • CPPchevron-right
    • Advanced Machine Learningchevron-right
  • data science
    • Resources
    • Tensorflow C++
    • Computerphilechevron-right
    • Google ML Crash Course
    • Kagglechevron-right
    • Jupiter Notebook Tips & Trickschevron-right
    • Image Datasets Notes
    • DS Cheatsheetschevron-right
    • Data Visualisation
    • fast.aichevron-right
    • Data Scientist
    • ML for Beginners (Video)
    • ML Masterychevron-right
    • Linear algebra cheat sheet for deep learningarrow-up-right-from-square
    • DL_ML_Resourcesarrow-up-right-from-square
    • Awesome Machine Learningarrow-up-right-from-square
    • web scraping
    • SQL Style Guide
    • SQL - Tips & Tricks
  • 💡Ideas & Thoughts
    • Outdoors
    • Blogchevron-right
    • Book Recommendations by Demi Lee
  • career
    • Skills
    • learn.cochevron-right
      • SQL
      • Distribution
      • Hypothesis Testing Glossary
      • Hypothesis Tests
      • Hypothesis & AB Testing
      • Combinatorics Continued and Maximum Likelihood Estimation
      • Bayesian Classification
      • Resampling and Monte Carlo Simulation
      • Extensions To Linear Models
      • Time Series
      • Distance Metrics
      • Graph Theory
      • Logistic Regression
      • MLE (Maximum Likelihood Estimation)
      • Gradient Descent
      • Decision Trees
      • Ensemble Methods
      • Spark
      • Machine Learning
      • Deep Learningchevron-right
        • Backpropagation - math notation
        • PRACTICE DATASETS
        • Big Data
      • Deep Learning Resources
      • DL Datasets
      • DL Tutorials
      • Keras
      • Word2Vecchevron-right
      • Mod 4 Projectchevron-right
      • Mod 5 Project
      • Capstone Project Noteschevron-right
    • Carrier Prepchevron-right
  • projects
    • Text Classification
    • TERRA-REF
    • saildrone
  • Computer Graphics
  • AI/ML
  • 3deeplearningchevron-right
  • Tools/Plugins
  • AR/VR
  • Game Engine
  • Riggingchevron-right
  • Mayachevron-right
  • Houdinichevron-right
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
  1. careerchevron-right
  2. learn.co

Deep Learning

LogoMachine Learning Glossary — ML Glossary documentationml-cheatsheet.readthedocs.iochevron-right
LogoHow I learned Linear Algebra, Probability and Statistics for Data Science | Towards Data ScienceTowards Data Sciencechevron-right
https://towardsdatascience.com/introducing-deep-learning-and-neural-networks-deep-learning-for-rookies-1-bd68f9cf5883towardsdatascience.comchevron-right
LogoTowards Data ScienceTowards Data Sciencechevron-right
Visualising Activation Functions in Neural Networksdashee87.github.iochevron-right
http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/www.wildml.comchevron-right
Building a Neural Network from Scratch in Python and in TensorFlownick beckerchevron-right
LogoMachine Learning 10-701/15-781: Lectureswww.cs.cmu.educhevron-right

hashtag
Neural Network

LogoYouTubewww.youtube.comchevron-right
LogoHome - colah's blogcolah.github.iochevron-right
http://cs231n.stanford.edu/syllabus.htmlcs231n.stanford.educhevron-right
CS231n: Convolutional Neural Networks for Visual Recognition

PreviousMachine Learningchevron-leftNextBackpropagation - math notationchevron-right

Last updated 6 years ago