Practical Guide to Transfer Learning in TensorFlow for Multiclass Image Classification

Step-by-step tutorial to using pre-trained ResNet50v2 model for multiclass image classification of Oxford-IIIT Pets dataset

Link to TowardsDataScience article: https://towardsdatascience.com/practical-guide-to-transfer-learning-in-tensorflow-for-multiclass-image-classification-d35fab7b28c0

Context

• Oftentimes we do not have access to a wealth of labeled data or computing power to build image classification deep learning models from scratch.
• Fortunately, transfer learning empowers us to develop robust image classifiers for our specific classification tasks, even if we have limited resources.
• In this easy-to-follow step-by-step guide, we will learn how to utilize pre-trained models as part of transfer learning in TensorFlow to classify images effectively and efficiently.

Files

• Tutorials in the form of Jupyter notebooks are found in the notebooks folder
  • Oxford-IIIT pets dataset
  • Stanford cars dataset

Feedback

• Any question or suggestions to improve the explanations? I look forward to hearing from you!