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/

⭐️ 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:
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