GeoGuessr VS Keras

GeoGuessr Reviews

Keras Reviews

GeoGuessr mentions (17)

• I love spending hours of my time on Google Maps just looking at random places on Earth.

  If you do, however, here's an incredible time waster of an online game for you: geoguessr.com/. Source: about 1 year ago

• GeoGuessr

  { "id": 0, "name": "GeoGuessr", "description": "GeoGuessr is a game that challenges players to guess a location on a map using street view images.", "links": { "website": [ "https://geoguessr.com", "https://en.wikipedia.org/wiki/GeoGuessr" ], "subreddit": [ "geoguessr" ] }, "path": { "56-64": [ [ ... Source: over 1 year ago

• MrBeast climbed a mountain in Antarctica, we are all trying to figure out which on he climbed. It is his latest video on YouTube. This group is usually pretty good at finding these things. He named it 'Shopify' Mountain, because he was the first to climb it. Also, I am not promoting his channel.

  This sub is only about the game Geoguessr geoguessr.com. Source: over 1 year ago

• Geoguessr Radio

  This extension adds a radio to single player games on the geoguessr.com website. Geoguessr Radio automatically switches to local radio stations while you are playing. The radio will appear in the Classic game mode exclusively when playing Single Player. Challenges and Competitive Mode are not supported. Stations are filtered by country and will switch automatically when you make a guess. Source: over 1 year ago

• Random Google Street View

  There is also a game (now a family of games) built around this concept, where you get a Street View location without seeing the map, and you have to figure out where you are based on what you can see. https://geoguessr.com/. - Source: Hacker News / over 1 year ago

Keras mentions (31)

• 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 / 16 days 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 / 25 days 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 / 11 months 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

• How to query pandas DataFrames with SQL

  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