How do you use Keras in a sentence? See 6 example sentences showing how this word appears in different contexts.
Using Keras
- In the example corpus, keras often appears in combinations such as: the keras.
Context around Keras
- Average sentence length in these examples: 19.5 words
- Position in the sentence: 2 start, 4 middle, 0 end
- Sentence types: 6 statements, 0 questions, 0 exclamations
Corpus analysis for Keras
- In this selection, "keras" usually appears in the middle of the sentence. The average example has 19.5 words, and this corpus slice is mostly made up of statements.
- Around the word, stellar, core, use, read, sequential and tutorials stand out and add context to how "keras" is used.
- Recognizable usage signals include danube the keras okeanoio gulf and for the keras sequential model. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "keras" sits close to words such as aaas, aacc and aacs, which helps place it inside the broader word index.
Example types with keras
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Keras is one of the leading high-level neural networks APIs. (11 words)
The biggest reasons to use Keras stem from its guiding principles, primarily the one about being user friendly. (18 words)
It can orchestrate TensorFlow, Caffe, Caffe2, PyTorch, and Keras workloads across cloud computing fabrics composed of CPUs and GPUs. (19 words)
Thanks to Jason Brownlee for his stellar Keras tutorials (I included a few snippets from his tutorial in the core Keras implementation), and Beltramelli for providing the data. (28 words)
To get started with Keras, read the install TensorFlow (or another backend engine) and KerasGetting Started tutorial for the Keras Sequential model. (22 words)
It can orchestrate TensorFlow, Caffe, Caffe2, PyTorch, and Keras workloads across cloud computing fabrics composed of CPUs and GPUs. (19 words)
Example sentences (6)
To get started with Keras, read the install TensorFlow (or another backend engine) and KerasGetting Started tutorial for the Keras Sequential model.
Thanks to Jason Brownlee for his stellar Keras tutorials (I included a few snippets from his tutorial in the core Keras implementation), and Beltramelli for providing the data.
Keras is one of the leading high-level neural networks APIs.
The biggest reasons to use Keras stem from its guiding principles, primarily the one about being user friendly.
It can orchestrate TensorFlow, Caffe, Caffe2, PyTorch, and Keras workloads across cloud computing fabrics composed of CPUs and GPUs.
Apollonius of Rhodes calls the lower Danube the Keras Okeanoio (Gulf or Horn of Oceanus) in Argonautica (IV. 282).
Common combinations with keras
These word pairs occur most frequently in English texts: