Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
Talk to Books by Google
A.I. Experiments by Google
Facebook.ai
Lobe
Google Open Source
Paper Signals by Google
PyTorch Lightning
Deep Learning Gallery
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Based on our record, Keras should be more popular than Talk to Books by Google. It has been mentiond 31 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 / 28 days 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
Talk to Books is an AI product by Google that can be used to interact with the content written in books that are already published. Source: 11 months ago
You can also use Google's Talk to Books that uses a neural network to search them. It's very handy! Source: about 1 year ago
Talk to books (https://books.google.com/talktobooks) : With talktobooks, you can talk to a book like in the same way as we talk to humans. Source: over 1 year ago
While I couldn't find the quote you mentioned, you can try using Talk to Books, an AI where you ask a question and it shows a quote from a book. Source: over 1 year ago
For example, projects such as https://books.google.com/talktobooks/ that allow people to experience AI without programming. - Source: Hacker News / over 1 year 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.
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Facebook.ai - Everything you need to take AI from research to production
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Lobe - Visual tool for building custom deep learning models