Resume.io is recommended for job seekers who are looking for a quick and efficient way to build their resumes. It is especially useful for those who may lack design skills or are short on time. It is also suitable for individuals who want guidance in crafting impactful resume content.
Based on our record, Keras should be more popular than Resume.io. It has been mentiond 35 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.
Https://resume.io/ I got a template from this website and removed the photo. I am applying to anything that's doable with a computer, customer service and hotel business as I have experience in that. Source: over 3 years ago
I got this design originally from resume.io but I still feel as if it's lacking. Can anyone help me out and give me some pointers? Source: over 3 years ago
I'm in no position to give advice but I felt that having a good CV and people skills definitely helped me. I used resume.io for my CV and cover letter, and can definitely recommend it. I have previously worked as a manager in a different industry and used to receive 1-2 CV's a day, a good looking CV really stands out amongst the pile of terrible ones. Also, one half of the interview which landed me my job in IT... Source: over 3 years ago
Check out https://resume.io worthwhile to pay for their services for a few months while you’re applying. Source: over 3 years ago
LinkedIn will act as a resume (although my actual resume is now hosted on resume.io) Update LinkedIn to link back to GitHub and Dev.to profiles. Update profile to mimic Resume credentials list. - Source: dev.to / over 3 years ago
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / about 1 month ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
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 / 12 months 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 / 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.
Enhancv - Create compelling eye-catching resumes that grab employers’ attention and enhance your chances of getting hired.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Zety - Use this online resume maker to build your resume fast and easy. Get expert advice as you write. Download in minutes and start getting interviews.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.