← All freeCodeCamp videos

Hot Dog or Not Hot Dog – Convolutional Neural Network Course for Beginners

95,819 views 2,755 likes 2023-07-03 1:27:42 Watch on YouTube ↗ freeCodeCamp ↗
Deep LearningComputer VisionConvolutional Neural NetworksPython

Chapters (9)

Show the creator's full description
Learn about Convolutional Neural Networks in this full course for beginners. These are a class of deep learning neural networks that are particularly effective for classifying images. CNNs are also used for other applications such as natural language processing and time series forecasting, but they are most commonly associated with image processing. ✏️ Course developed by @KylieYYing Colab: https://colab.research.google.com/drive/1G_ixTTBy6tVm4R7B7qYEdokjilLBdLdq?usp=sharing Slides: https://docs.google.com/presentation/d/16Z2fnBl2azfGxZ8InHiFvRb1OLZVQTLQpy8GzZR5YEg/edit?usp=sharing Food 101 dataset: https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/ ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:07:05) Supervised Learning ⌨️ (0:16:54) Training a Model ⌨️ (0:25:58) Neural Nets ⌨️ (0:36:41) Convolutional Neural Nets ⌨️ (0:38:56) Coding Example - Getting Data ⌨️ (1:06:08) Coding Example - Neural Net Implementation ⌨️ (1:14:31) Coding Example - Improvements 🏗 Google provided a grant that made this course possible. Correction: 42:52 Sorry – The code didn't show up right here. Feel free to listen or skip forward to 52:44 where the code shows up again. 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Description and video by freeCodeCamp.org. This page is an independent companion view; the video is embedded from YouTube.