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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