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
On this page of the site you can watch the video online Deep Learning - Image Classification Tutorial step by step (for Beginners) (python / TensorFlow) with a duration of hours minute second in good quality, which was uploaded by the user DeepLearning_by_PhDScholar 21 September 2020, share the link with friends and acquaintances, this video has already been watched 172,207 times on youtube and it was liked by 3.2 thousand viewers. Enjoy your viewing!