Crunchbase Reviews

Keras Reviews

Crunchbase mentions (20)

• How/Where can I contact VCs/Angel Investors?

  Where are you? Go to startup events and meetups. A lot of angel groups have websites that take unsolicited proposals. crunchbase.com might give you some ideas of who to pursue. Source: about 1 year ago

• Investor Takes 7% Stake in Tiny $QMCI

  Lots of things that make you go Hmmmmmmmm here. New investor (Michael H. Giles) is also CEO of Embed Financial Technologies. More info about him can be found on crunchbase.com . Looks like Mr. Giles has funded, or founded companies that do similar, or complementary things like what $QMCI does. Source: over 1 year ago

• Is LinkedIn the best site for finding jobs in our field?

  LinkedIn works for most use cases. Glassdoor / Indeed is trash for tech jobs. For startups, it helps to filter down the noise. Topstartups.io is good for that; same with crunchbase.com but they will paywall you hard. Source: over 1 year ago

• Top 10 Backend Frameworks in 2022

  Ruby on Rails, popularly called Rails, is web application framework written in Ruby programming language. It is based on Model-View-Controller(MVC)-based full-stack web development framework. It is based on the philosophy of Convention over Configuration (CoC), Don't Repeat Yourself (DRY) and the ActiveRecord pattern. Some popular websites built using Ruby on Rails are Airbnb, Bloomberg, Crunchbase, Dribbble,... - Source: dev.to / over 1 year ago

• Richie named one of the 5 most promising embedded software startups in the US

  We’ve ranked the top 5 Embedded Software funded companies in United States. The companies, startups and institutions listed in this article are all exceptional companies, well worth a follow. We have included links to their websites, socials and CrunchBase (if you’re interested in their financials). Source: almost 2 years ago

Keras mentions (32)

• Using Google Magika to build an AI-powered file type detector

  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 / 24 days ago

• My Favorite DevTools to Build AI/ML Applications!

  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 / 2 months ago

• Getting Started with Gemma Models

  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 / 3 months ago

• How popular are libraries in each technology

  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 / about 1 year ago

• Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!

  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