In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine learning and artificial intelligence. It was developed by Google. And it can be ...

Abstract: This paper presents an application for troubleshooting computer problems using the TensorFlow and deep learning techniques. The functionality of the proposed application contains the problem ...

Elon Musk has confirmed that Tesla’s Full Self-Driving (Supervised) system now allows drivers to text and drive, though he added a caveat that it depends on the “context of surrounding traffic.” This ...

The Snipping Tool in Windows is a useful built-in tool that lets you capture screenshots, but did you know it can also be used to extract text? With a bit of creativity and the right steps, you can ...

One thing that listeners are hearing from tech media, from the developers, and from the general public is concerns about how much energy AI uses. That makes sense, for a number of reasons. One major ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. For anyone versed in the technical underpinnings of LLMs, this ...

It starts with something small, a text that feels oddly familiar. Maybe it says, "Hey, how are you?" or "Are you coming to the BBQ?" Before you know it, you're in a friendly back-and-forth with ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

CIFAR-10 image classification using TensorFlow/Keras with a custom F-Beta metric. Includes CNN architecture, data preprocessing, EarlyStopping, and performance tracking to balance precision and recall ...

Implementation of multiple deep learning models using Keras Functional API, including a CNN on MNIST, a multi-input/multi-output example, and a toy ResNet on CIFAR-10 ...