Instructure is an educational software company based in Sandy, Utah. It is the developer of the Canvas learning management system, which is a comprehensive software package that competes with such systems as Blackboard Learning System, SumTotal and Saba.
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TensorFlow
Score7.6 out of 10
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TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
It is really well suited for school situations like knowing what [assignments] need to be done when, getting feedback, getting points, finding the slides that the teacher used for explaining an [assignment] or theory. I think It would be less suited in business situations because it's [primarily] made to be a [one-way] communication tool for schools. Businesses need more control on individual levels I think[.]
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Creativity options for teachers to create a virtual space that still has fun graphics and accessibility options.
Canvas has versatility in viewing options for assignment due dates such as the calendar built in feature as well as the dashboard options to display upcoming and due assignments.
Allowing teachers to create community with each other and collaborate in each-other's space.
Discussion platforms within classrooms for students to communicate with each-other and with their teachers.
Easy messaging portal within each virtual classroom.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
The other LMS tools have fallen behind. One reason is they are not able to update their systems, features, toolsets in a timely manner. While other LMS providers release bug fixes and new features several times a year, schools struggle to install and implement them in a timely manner. It is not uncommon for a school to take 6 months to a year to fully install and implement new releases on other LMS platforms. With Canvas, those features are released every 3 weeks, and there is nothing for a school to do other than choose to turn them on once released. This has allowed Instructure to innovate faster, and get new features and tools to customers quicker. Other factors include great pricing, customer support, and the innovative way in which LTI is implemented in the tool.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The functions in Canvas are well integrated and consistent across the application, and mostly intuitive. Overall navigation and setup is streamlined through integrated features and navigation. The feedback we've gotten from our program participants is that it is easy to learn to use. It also integrates well with third party software like Google Docs and Blackboard Collaborate web conferencing software
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I do not personally use Canvas support since we have a central office that helps us. However, our central office always has the answers we need and are always able to solve our issues - so I would assume that get great support from the Canvas team on their end. They also offer great training, which uses materials directly from Canvas
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Once you purchase and sign the contract there is nothing to install or hardware to buy. You can almost immediately start using it and have courses up and going within weeks. We signed in December and had pilot courses online ready to go for the start of school in January
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Canvas is more secure, has a cleaner design, and has more features. For the features, they have in common canvas still stacks up against [Smart school] by going for the extra mile. Besidfor e that, [the] canvas looks a lot more [professional] than [Smart school]. I didn't make the decision myself to get canvas instead of [Smart school] but I'm happy they did.
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
