Based on our record, Duo Security should be more popular than TensorFlow. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Duo.com — Two-factor authentication (2FA) for website or app. Free for ten users, all authentication methods, unlimited, integrations, hardware tokens. - Source: dev.to / 4 months ago
You could use Duo - https://duo.com/. It can be set to require MFA when logging in locally or only when logging in via RDP (or both). It's free for up to 10 users. Source: 12 months ago
A quick google tells me that Duo is a 2FA service from Cisco. Maybe that's what Anet is using to manage the 2FA in the launcher behind the scenes? Source: 12 months ago
I have Duo (https://duo.com) enabled on my internet facing SSH server. It sits behind sslh on port 443 and uses public key authentication only. Source: about 1 year ago
Our organization uses Duo, which is an MFA tool that competes with Okta. I created a serverless application with API Gateway and Lambda that gives users access to Salesforce resources where they can directly update records. This was a workaround for getting around Salesforce community clouds expensive community licenses. Source: about 1 year ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Google Authenticator - Google Authenticator is a multifactor app for mobile devices.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Okta - Enterprise-grade identity management for all your apps, users & devices
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.