Search results for "keras"

Label smoothing with Keras, TensorFlow, and Deep Learning

In this tutorial, you will learn two ways to implement label smoothing using Keras, TensorFlow, and Deep Learning. When training your own custom deep neural networks there are two critical questions that you should constantly be asking yourself: Am I overfitting to my training data? Will my model generalize to data outside my training and […]

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Detecting Natural Disasters with Keras and Deep Learning

In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep Learning. I remember the first time I ever experienced a natural disaster — I was just a kid in kindergarten, no more than 6-7 years old. We were […]

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3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and Model Subclassing)

Keras and TensorFlow 2.0 provide you with three methods to implement your own neural network architectures: Sequential API Functional API Model subclassing Inside of this tutorial you’ll learn how to utilize each of these methods, including how to choose the right API for the job. To learn more about Sequential, Functional, and Model subclassing with […]

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Keras vs. tf.keras: What’s the difference in TensorFlow 2.0?

In this tutorial you’ll discover the difference between Keras and tf.keras , including what’s new in TensorFlow 2.0. Today’s tutorial is inspired from an email I received last Tuesday from PyImageSearch reader, Jeremiah. Jeremiah asks: Hi Adrian, I saw that TensorFlow 2.0 was released a few days ago. TensorFlow developers seem to be promoting Keras, or […]

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Keras Learning Rate Finder

In this tutorial, you will learn how to automatically find learning rates using Keras. This guide provides a Keras implementation of fast.ai’s popular “lr_find” method. Today is part three in our three-part series of learning rate schedules, policies, and decay using Keras: Part #1: Keras learning rate schedules and decay Part #2: Cyclical Learning Rates […]

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