Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras

Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras

Keith Galli via YouTube Direct link

Video Overview

1 of 15

1 of 15

Video Overview

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Video Overview
  2. 2 Getting Started Setup & Installation
  3. 3 Finding datasets to use
  4. 4 Data Preparation
  5. 5 Additional Data Prep Convert data to NumPy format
  6. 6 Reshape Data & Normalize values between 0-1
  7. 7 Train our first network to classify images
  8. 8 Convolutional Neural Net CNN approach
  9. 9 Using GPU on Google Colab speed up training
  10. 10 Improving our CNN reduce image size, max pooling, dropout, etc
  11. 11 Using Kerastuner to automatically pick best hyperparameters
  12. 12 Save & Load our models
  13. 13 Plot NumPy arrays as images
  14. 14 Convert JPG/PNG images to NumPy
  15. 15 Final thoughts

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.