Animal Image Classification using Transfer Learning | Deep Learning Tutorial

In this video, we walk you through the step-by-step process of creating an animal image classification model using Python, TensorFlow, and MobileNetV2. Learn how to preprocess data, use data augmentation, build a transfer learning model, and visualize predictions

Topics Covered:
- Setting up the environment
- Data preprocessing and augmentation
- Using MobileNetV2 for transfer learning
- Training and evaluating the model
- Visualizing predictions
🔗 Resources & Links:
📥 Code and Dataset: Find the links in the GitHub repository below.

💡 Why Transfer Learning?
Transfer learning helps speed up training by leveraging pre-trained models like MobileNetV2, which is already trained on massive datasets like ImageNet.

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