Examples of 'keras' in a sentence
Meaning of "keras"
Keras: (noun) a high-level neural networks API written in Python that allows for easy and fast prototyping of deep learning models
How to use "keras" in a sentence
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keras
What is keras.
Keras has opened deep learning to thousands of people with no prior machine learning experience.
Talos includes a customizable random search for Keras.
Call Keras and see if he shows up.
Do not tell me this is about Keras.
Using TensorFlow and Keras to build deep learning neural networks to predict financial outcomes.
The model was trained by using Keras.
In the Keras deep learning library.
How to define neural network in Keras.
Keras is considered as one of the best Deep Learning libraries in Python.
We were just saying goodbye to Keras.
TFLearn and Keras for higher level.
Implementation of a basic model in Keras.
Keras flow from directory returns 0 images.
You will learn about building a classification model using the Keras library.
See also
Keras can be used if you require a deep learning library that,.
Densely connected networks in Keras.
Keras patronizes the recurring layer, supporting convolution and a combination of both.
The last time I saw her she was coming down the stairs with Keras.
Install TensorFlow and Keras for Linux.
You might have already used deep learning libraries like Tensorflow and Keras.
Experience in development using Keras or Tensorflow.
Keras is excellent because it allows you to experiment with different neural-nets with great speed!
Experience working with Tensorflow and Keras.
The core data structure of Keras is a model, a way to organize layers.
Tensor Flow One benefit of inheriting from tf keras Model.
Auto Keras is an open-source python package for neural architecture search.
She went with Keras.
Keras is a completely Python-based framework, which makes it easy to debug and explore.
His name is Keras.
In the Keras manual page, we can find all types of loss functions available.
So this is Keras.
The TensorFlow tf. keras API is the preferred way to create models and layers.
There are two ways to include the Custom Layer in the Keras.
Chollet explained that Keras was conceived to be an interface rather than a standalone machine-learning framework.
I will use libraries like scikit-learn and keras.
Keras is weak . I doubt his oath to the sacrifice.
Other useful packages to work with Keras are,.
Maybe he can help . Call Keras and see if he shows up.
One of the most common resources to find pre-trained models is Keras.
Description, Keras is a high level neural network library written in Python.
Neural networks can be easily constructed with high-level libraries like Keras.
Can you trust a Keras model to distinguish African elephant from Asian elephant? →.
The software is based on multiple open-source libraries, such as Keras with TensorFlow backend.
Keras is well designed with modularity, simplicity, and extensibility in mind.
This talk demonstrates how to perform distributed TensorFlow training using the Keras high-level APIs.
Keras - culture development.
Again, he turned to Python and the Keras library.
Keras has algorithms for optimizers, normalization, and activation layers.
One of these applications is Artificial Intelligence, thanks to libraries like Keras or TensorFlow.
