Based on our record, Keras seems to be a lot more popular than YouTube Kids. While we know about 32 links to Keras, we've tracked only 1 mention of YouTube Kids. 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.
Also there is featured YouTube Kids content like PragerU Kids and the upcoming DailyWire Kids. I'm sure that just like PragerU Kids, when DailyWire Kids launches it will be featured content on the YouTube Kids app. Gotta start the right wing indoctrination at the earliest age possible via kid friendly platforms like the YouTube Kids app. Source: about 2 years 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 / 4 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 / about 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 / about 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 / 12 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
Mashs and the Bear - Mashs and the Bear developed and published by 01Digital for Android and iOS devices.
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.
Kids First - Kids Videos and Nursery Rhymes – Kids First is a free kid education app developed and published by USP Studios.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
BabyFirst - BabyFirst: Education Songs, Games, and TV for Kids is a safe and fun way for kids to sprout, start learning, and explore.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.