Deep Learning Tutorial

This is a basic image classification tutorial from CIFAR-10 dataset using TensorFlow.

The CIFAR-10 dataset

CIFAR-10 is a common dataset used for machine learning and computer vision research. It is a subset of 80 million tiny image dataset and consists of 60,000 images. The images are labelled with 10 different classes. So each class has 5000 training images and 1000 test images. Each row represents a color image of 32 x 32 pixels with 3 channels (RGB).


Basic workflow of Machine Learning

  1. Collect the data
  2. Pre-process the data
  3. Define a model
  4. Train the model
  5. Evaluate/test the model
  6. Improve your model

Activity: Work with CIFAR-10 dataset