Transfer Learning with TensorFlow
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Published on ● Video Link: https://www.youtube.com/watch?v=uT7SPpq8pwo
0I'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!
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Tags:
TensorFlow
Machine Learning
Deep learning
Python
Data Science
Transfer Learning
Convolutional Neural Networks