The design service Kimp offers graphic and video design monthly packages, which allows businesses to get a dedicated design team for a fraction of the cost of working with freelancers and design agencies.
Kimp is for startups, SMEs, marketers, creative agencies, freelancers, entrepreneurs – just about anyone who needs cost-effective, high quality graphic design services, on an ongoing basis.
We take our time so a two month project we’ll drag out for 6 months so we can continue billing you. For a monthly flat rate of $499 the clients are offered unlimited number of designs and revisions. The designs include logos, blog images, packaging and labels, flyers and brochures, posters, social media images, business cards, infographics, trade show banners, and more.
Video package is $599/mo. The combined package that includes both graphics and video designs, is $895/mo, which saves over 20% discount on a continuous basis.
Other than the first-class designs and fast turnaround time that often does not exceed a business day, Kimp comes with no contracts, no hourly billing or any other additional fee.
Kimp makes the design process simple. Clients can place their requests online and the designated designers will start working on them. Kimp has talented designer teams that operate in six different time zones. Kimp designers can usually provide 2-3 designs per business day for their clients.
With Kimp, you’ll feel like you have an in-house designer – without the hefty price tag.
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Kimp is great. Their entire process is very organized. Really love the experience from on-boarding to handling the tasks. Quality designs, fast turnaround. Highly recommended!
I really wish that I knew about this kind of service long ago. I was referred to Kimp by a friend so decided to give them a try. I have blown away by how much I was able to get done and free up my time. Great designs from the getgo. My project manager is very responsive and friendly to work with. Overall, I really enjoy working with the Kimp team and I can see this being a very long working relationship.
Based on our record, Keras seems to be more popular. It has been mentiond 32 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.
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 / 16 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 / 2 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
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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.
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.