With the announcement that Object Detection API is now compatible with Tensorflow 2, I tried to test the new models published in the TF2 model zoo, and train them with my custom data. However, I have ...
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...
Discover whether n8n or Python is the best tool for your AI projects. Explore their strengths, limitations, and how to make the right choice.
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I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too
I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...
Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...
In a breakthrough announcement, OpenAI recently introduced the ChatGPT API to developers and the public. Particularly, the new “gpt-3.5-turbo” model, which powers ChatGPT Plus has been released at a ...
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