Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
DeepPy
AWS DeepComposer
AWS DeepLens
AWS DeepRacer
Amazon SageMaker
Amazon Forecast
CobbleStone Software
OpenAI
Amazon Monitron
AWS DeepComposerNo features have been listed yet.
Based on our record, Keras seems to be a lot more popular than AWS DeepComposer. While we know about 35 links to Keras, we've tracked only 2 mentions of AWS DeepComposer. 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.
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 15 days 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 / 7 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 / 11 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
AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs. - Source: dev.to / over 1 year ago
With AWS DeepComposer, you get an AI-enabled keyboard that transforms your melodies into unique songs with the help of Machine Learning models. While this goes astray of the well-known way artists create music, it can lead to new songwriting ways. - Source: dev.to / about 4 years 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.
AWS DeepLens - Deep learning enabled video camera for developers
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
AWS DeepRacer - A 1/18th scale race car to learn machine learning 🚗
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
