Based on our record, OpenAI should be more popular than Keras. It has been mentiond 303 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.
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 month 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 / about 1 month 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 / 11 months 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
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
To use the AI capabilities of Cover-Agent, you need an API key from OpenAI. Follow these steps to obtain and set up your API key:. - Source: dev.to / 3 days ago
Introduction Recent developments in AI-driven conversational agents have sparked debates about the future of platforms like ChatGPT. With Google's unveiling of Project Astra and its integration with Gemini across its product suite, questions arise about the potential impact on existing players like OpenAI. This article delves into the implications of Google's advancements and how OpenAI may respond to maintain... - Source: dev.to / 9 days ago
Okay, now we've confirmed the API endpoint is working, let's connect it to OpenAI first, install the OpenAI package, navigate to the route directory, and run the command below in our terminal. - Source: dev.to / 16 days ago
You can obtain an OpenAI API key by visiting the OpenAI website. - Source: dev.to / 23 days ago
OpenAI Account: Register for an OpenAI account to utilize AI-powered features in your ToolJet applications. Sign up here. - Source: dev.to / about 1 month 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.
ChatGPT - ChatGPT is a powerful, open-source language model.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Awesome ChatGPT Prompts - Game Genie for ChatGPT
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ChatGPT for Google - Show ChatGPT response alongside search engines