Telegram Reviews

1. Flawlessflower

   10 months ago
   the best messanger sp far for me

   Very secure, straightforward,and i must say,more relevant nowadays, at least in my opinion.

   👍 Pros:    Intuitive|Easy user interface

Keras Reviews

Telegram mentions (129)

• Semi-Scripted Conversational Applications

  You can serve it in any way, either as a standalone application, a Telegram bot or a web application. We will focus on the core of the conversational application and skip the delivery method for now. - Source: dev.to / 2 months ago

• Sending Telegram Messages using Node.js and the Telegram API

  Telegram is a popular messaging app that allows users to send messages, photos, videos, and other types of media to other Telegram users. Me personally use it almost everyday as a way to communicate with family and friends, in short words I really prefer it to some more popular ones as Viber and Whatsapp. One of the great features of Telegram is that it also has an API that allows developers to interact with... - Source: dev.to / 4 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Telegram — Telegram is for everyone who wants fast, reliable messaging and calls. Business users and small teams may like the large groups, usernames, desktop apps, and powerful file-sharing options. - Source: dev.to / 5 months ago

• Top Growing Social Media Platforms in 2024 🚀

  (https://telegram.org/) Secure messaging app with over 500 million active users. Provides encrypted chats, group chats up to 200,000 people, file sharing and more. - Source: dev.to / 5 months ago

• How a data analyst built a smart habit tracker using Baserow 😊

  📢 Check out the new #MadeWithBaserow project for building habits! Baptiste Thivend has automated the process using Baserow, n8n, and Telegram. Source: 9 months 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 / 22 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