Keras Reviews

Clipdrop Reviews

Keras mentions (32)

• Using Google Magika to build an AI-powered file type detector

  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 / 8 days ago

• My Favorite DevTools to Build AI/ML Applications!

  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 2 months ago

• Getting Started with Gemma Models

  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

• How popular are libraries in each technology

  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 / 12 months ago

• Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!

  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

Clipdrop mentions (19)

• Difference between burguer and hamburguer?

  I'm trying to use stable diffusion XL at clipdrop.co to generate a patty / burguer / hamburguer meat images, but it looks like it's impossible. I've tried dozens of prompts and the result is always a complete hamburguer. You can check the last two prompts I tested bellow and I'd really appreciate if you could give me some advice on what I can improve in this prompts to get closer to my desired result. Source: 6 months ago

• Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0

  If you want to play around with Stable Diffusion XL: https://clipdrop.co. - Source: Hacker News / 11 months ago

• Just a general notice for the few people still hanging out here

  A lot of mis- and disinformation going on and it seems like it's getting worse fast. Fake people writing on reddit, fake portraits of people online https://www.thispersondoesnotexist.com/ (and that's already old tech), there are already pretty much fully convincing fake human voices in operation (on youtube videos etc.), there are fake people playing online video games and talking "into the mic" etc. Fully... Source: 11 months ago

• 230712 LE SSERAFIM Deskmat Concept

  Photoshop is not the best choice here. If you're new to design, better learn Figma. Adobe didn't pay $20 billion to acquire them for nothing, they know it's a better software. Photoshop is only useful in very specific cases, and even then the free browser version will likely be enough. Plus vector graphics are better in most cases anyway. I do everything for this subreddit in Figma + ClipDrop AI tools and I've... Source: 11 months ago

• SDXL 0.9 does not understand me. Well, at least not on my own machine.

  Hi, first time user of Stable Diffusion (and similar projects) here. I was playing around with SDXL 0.9 on clipdrop.co and wanted to dive a little bit deeper and so I installed SD.Next and downloaded SDXL 0.9. Well, lets say I am confused: I used the same prompt on clipdrop.co and locally, but the results are not even close. Can somebody point me in the right direction? I think I am missing something fundamental. Source: 11 months ago