one more site used in some schools, like a video game,
without even mentioning concepts of programming languages, or Python...
Why not at least mention to students how things work?
Home | Codesters
Free demo:
Building your First Program - Intro to Codesters | Codesters Curriculum
"
def click():
sprite.say("Hey there Codester!")
sprite.move_up(100)
sprite.turn_right(360)
sprite.move_down(100)
sprite.say("Great job.")
sprite.wait(2)
sprite.say("Click submit and next to continue!")
sprite.event_click(click)
"
Sunday, December 10, 2017
AI: ONNX: Open Neural Network Exchange Format
ONNX.ai
"What is ONNX?
ONNX is a open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners."
"Open Neural Network Exchange Format (ONNX)
...is a specification standard for neural network models, so that different deep learning libraries can work together."
"ONNX was created by Microsoft and Facebook. The ONNX specification appears to have official support from Amazon (AWS), as well as hardware companies AMD, ARM, IBM, Intel, Huawei, NVIDIA, and Qualcomm.
Neural network tools initially supported by ONNX v1 include CNTK, PyTorch, Apache MXNet, Caffe2, and TensorRT. Noticeably missing is official support from Google and their TensorFlow library. However, it appears that there is some sort of converter that allows indirect interoperability with TensorFlow."
"What is ONNX?
ONNX is a open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners."
...is a specification standard for neural network models, so that different deep learning libraries can work together."
"ONNX was created by Microsoft and Facebook. The ONNX specification appears to have official support from Amazon (AWS), as well as hardware companies AMD, ARM, IBM, Intel, Huawei, NVIDIA, and Qualcomm.
Neural network tools initially supported by ONNX v1 include CNTK, PyTorch, Apache MXNet, Caffe2, and TensorRT. Noticeably missing is official support from Google and their TensorFlow library. However, it appears that there is some sort of converter that allows indirect interoperability with TensorFlow."
Cloud Native Computing Foundation & free eBook
Members - Cloud Native Computing Foundation
Google, Microsoft, Amazon, Oracle, Samsung, Cisco...
Missing: Apple
Kubernetes - Wikipedia
"Kubernetes (commonly referred to as "K8s") is an open-source system for automating deployment, scaling and management of containerized applications that was originally designed by Google and donated to the Cloud Native Computing Foundation. It aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts". It supports a range of container tools, including Docker.
Kubernetes : Greek for "helmsman" or "pilot"
Free Cloud Native Infrastructure E-Book – {code} – Open Source
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