deep learning - Page 4 of 4

TensorFlow

TensorFlow is an open source software library for neural network programming and machine learning. It was developed by Google Brain Team and was released to the public in 2015. TensorFlow allows developers to build deep learning models efficiently, using a flexible graph-based architecture that can run [...]

Gradient descent

Gradient descent is an optimization algorithm used in machine learning and deep learning to adjust the parameters of a model to minimize the cost or loss function. The objective of gradient descent is to find the values of the model parameters [...]

What is machine learning

In recent years, all topics related to Artificial Intelligence (AI) have aroused enormous interest. Perhaps it is because the heart of the big technology companies is driven by algorithms that learn from user data and optimize the service provided to these users; or because it has been put in the hands of [...]

Human Level Artificial Intelligence - HLAI

Human-level artificial intelligence (HLAI) is a term used to describe artificial intelligence systems that have human-like abilities in terms of reasoning, learning, perception and problem solving. In contrast to conventional artificial intelligence, which focuses on specific tasks [...]

Deep Learning

Deep learning is a branch of machine learning that relies on multi-layered artificial neural networks to learn and extract features from data. Unlike conventional machine learning, which is based on algorithms that require the definition of features manually, deep learning allows [...]

Artificial Neural Network - ANN

An Artificial Neural Network (ANN) is a computational model inspired by the structure and functioning of the human brain. It consists of a network of interconnected nodes, called artificial neurons, that process input information and generate an output. In an ANN, each artificial neuron receives one or more [...]

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