Difference between revisions of "Swift"
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| − | [http://www.youtube.com/results?search_query=AWS+Amazon+Amazon+SQS | + | {{#seo: |
| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| + | }} | ||
| + | [http://www.youtube.com/results?search_query=AWS+Amazon+SQS YouTube search...] | ||
| + | [http://www.google.com/search?q=AWS+Amazon+SQS+deep+machine+learning+ML+artificial+intelligence ...Google search] | ||
* [[TensorFlow]] | * [[TensorFlow]] | ||
* [http://github.com/Swift-AI/Swift-AI Swift AI - deep learning library written entirely in Swift] | * [http://github.com/Swift-AI/Swift-AI Swift AI - deep learning library written entirely in Swift] | ||
| − | * [ | + | * [http://en.wikipedia.org/wiki/Swift_(programming_language) Wikipedia] |
| + | * [http://www.fast.ai/ fast.ai Embracing Swift for Deep Learning | ||
Swift for TensorFlow provides a new programming model that combines the performance of graphs with the flexibility and expressivity of Eager execution, with a strong focus on improved usability at every level of the stack. | Swift for TensorFlow provides a new programming model that combines the performance of graphs with the flexibility and expressivity of Eager execution, with a strong focus on improved usability at every level of the stack. | ||
Latest revision as of 19:42, 1 April 2019
YouTube search... ...Google search
- TensorFlow
- Swift AI - deep learning library written entirely in Swift
- Wikipedia
- [http://www.fast.ai/ fast.ai Embracing Swift for Deep Learning
Swift for TensorFlow provides a new programming model that combines the performance of graphs with the flexibility and expressivity of Eager execution, with a strong focus on improved usability at every level of the stack.
Core ML
