This video contains a basic level tutorial for implementing image classification using deep learning library such as Tensorflow.

1. Overview of concepts (Brainstorming) Image Classification
2. Image loading (four different methods)
(i) Python Imaging Library
(ii) Open CV
(iii) IPython.display
(iv) Tensorflow.Keras API - Preprocessing
3. Deep learning architectures
(i) Model Loading (MobileNet etc)
(ii) Predictions
4. Decoding the predictions into labels