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Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.
In Episode 7 we’ll look at how we can use image augmentation as a technique to artificially extend your datasets to provide new information for the training of your neural network. This can potentially help you with overfitting issues!
Image augmentation example → https://goo.gle/2AKkIzX
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → https://goo.gle/TensorFlow
Machine Learning Foundations playlist → https://goo.gle/ml-foundations
Subscribe to Google Developers → https://goo.gle/developers
In Episode 7 we’ll look at how we can use image augmentation as a technique to artificially extend your datasets to provide new information for the training of your neural network. This can potentially help you with overfitting issues!
Image augmentation example → https://goo.gle/2AKkIzX
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → https://goo.gle/TensorFlow
Machine Learning Foundations playlist → https://goo.gle/ml-foundations
Subscribe to Google Developers → https://goo.gle/developers
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