I'll livestream code and explain everything you could want to know about Transfer Learning using TensorFlow.

Transfer learning occurs when you take a model trained to perform a certain task and reuse it to perform another task. Often enormous resources are required to train a model to do a sophisticated task. If you can find a model that was trained on a related task you can cut your development time.

In this video I'll cover all of the following Live :

️ Transfer Learning
️ TensorFlow Hub
️ Multi-Class Convolutional Neural Networks
️ Downloading & Processing Data
️ Activation
️ Pooling
️ Optimizing Performance
️ Minimizing Overfitting
️ Augmenting Images
️ ResNet
️ EfficientNet
️ Much More!

Code is Here : https://github.com/derekbanas/tensorflow/blob/main/tf_transfer.ipynb

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