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Based on our record, Keras seems to be a lot more popular than Keap. While we know about 32 links to Keras, we've tracked only 3 mentions of Keap. 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.
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 26 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 3 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
The competitors like Groundhogg and Keap are going to get some "switchers". Folks looking to stay on a budget, especially in times of economic uncertainty are going to look for good alternatives. Source: over 1 year ago
Here's a few: • BuzzSumo - a great tool for getting content insights on any topic (content strategy, influencer marketing, etc.) • ActiveCampaign - CRM, marketing, and e-mail marketing automation for e-com, B2C AND B2B • Keap - simple automation for sales and marketing • Bitrix24 - good CRM for beginners (solid free plan). Source: over 2 years ago
Keap offers an e-mail marketing and sales platform for small businesses, including products to manage and optimize the customer lifecycle, customer relationship management, marketing automation, lead capture, and e-commerce. The Keap node and Keap Trigger node allow you to manage companies, contacts, contact notes and tags, ecommerce orders and products, emails, and files. - Source: dev.to / almost 3 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
HubSpot - Grow Better With HubSpot: Software that's powerful, not overpowering. Seamlessly connect your data, teams, and customers on one CRM platform that grows with your business.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
HubSpot CRM - Free CRM software for small businesses.