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Branch of machine learning
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which text is
Transformer_(deep_learning)
Subset of artificial intelligence
in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance
Machine_learning
Image upscaling technology by Nvidia
Deep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available
Deep_Learning_Super_Sampling
Machine learning that combines deep learning and reinforcement learning
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the
Deep_reinforcement_learning
Computational model used in machine learning
network is typically called a deep neural network if it has at least two hidden layers. Deep neural networks are capable of learning sophisticated hierarchical
Neural network (machine learning)
Neural_network_(machine_learning)
Deep learning architecture
Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
Field of machine learning
Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and
Reinforcement_learning
4th episode of the 26th season of South Park
"Deep Learning" is the fourth episode of the twenty-sixth season of the American animated television series South Park, and the 323rd episode of the series
Deep_Learning_(South_Park)
Machine learning methods using multiple input modalities
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images
Multimodal_learning
Model-free reinforcement learning algorithm
Q-learning algorithm. In 2014, Google DeepMind patented an application of Q-learning to deep learning, entitled "deep reinforcement learning" or "deep Q-learning
Q-learning
Overview of and topical guide to deep learning
provided as an overview of, and topical guide to, deep learning: Deep learning is a subfield of machine learning and artificial intelligence based on artificial
Outline_of_deep_learning
Machine learning technique
In deep learning, fine-tuning is the process of adapting a computational model trained for one task (the upstream task) to perform a different, usually
Fine-tuning_(deep_learning)
Tabular comparison of deep learning software
compare notable software frameworks, libraries, and computer programs for deep learning applications. Licenses here are a summary, and are not taken to be complete
Comparison of deep learning software
Comparison_of_deep_learning_software
Intelligence of machines
processing units began being used to accelerate neural networks, and deep learning outperformed previous AI techniques. This growth accelerated further
Artificial_intelligence
Type of feedforward neural network
that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different
Convolutional_neural_network
A 1971 paper described a deep network with the equivalent of eight layers trained by this method. The first deep learning multilayer perceptron trained
History of artificial neural networks
History_of_artificial_neural_networks
Deep learning model structure
A layer in a deep learning model is a structure or network topology in the model's architecture, which takes information from the previous layers and
Layer_(deep_learning)
Research field in deep learning
Topological deep learning (TDL) is a research field that extends deep learning to handle complex, non-Euclidean data structures. Traditional deep learning models
Topological_deep_learning
In U.S. education, deeper learning is a set of student educational outcomes including acquisition of robust core academic content, higher-order thinking
Deeper_learning
Parameter-efficient fine-tuning technique for large language models
350 gigabytes). The technique applies broadly to any dense layers in deep learning models, though it has been most extensively studied in the context of
LoRA_(machine_learning)
Machine learning technique
the previous state. Additional surveys of the attention mechanism in deep learning are provided by Niu et al. and Soydaner. The major breakthrough came
Attention_(machine_learning)
and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
and the application of rigorous mathematical methods. Soon after, deep learning proved to be a breakthrough technology, eclipsing all other methods
History of artificial intelligence
History_of_artificial_intelligence
AI research laboratory
chess) after a few days of play against itself using reinforcement learning. DeepMind has since trained models for game-playing (MuZero, AlphaStar), for
Google_DeepMind
Defunct American cloud computing company
deep learning software. On August 9, 2016, it was acquired by Intel, for an estimated $408 million. The company's (now discontinued) open-source deep
Nervana_Systems
Realistic artificially generated media
Deepfakes (a portmanteau of 'deep learning' and 'fake') are images, videos, or audio that have been edited or generated using artificial intelligence
Deepfake
American multinational technology company
artificial intelligence and deep learning; including self-driving cars, healthcare, high-performance computing, and Nvidia Deep Learning Institute (DLI) training
Nvidia
American computer scientist, entrepreneur (born 1976)
known for his contributions to the field of artificial intelligence and deep learning, particularly in the development of transformer models and natural language
Noam_Shazeer
Type of feedforward neural network
In deep learning, a multilayer perceptron (MLP) is a kind of modern feedforward neural network consisting of fully connected neurons with nonlinear activation
Multilayer_perceptron
Type of artificial neural network
class of supervised neural network models). In recent developments of deep learning, the rectified linear unit (ReLU) is more frequently used as one of
Feedforward_neural_network
Type of large language model
in generative artificial intelligence chatbots. GPTs are based on a deep learning architecture called the transformer. They are pre-trained on large datasets
Generative pre-trained transformer
Generative_pre-trained_transformer
Family of convolutional neural networks
"Provable Bounds for Learning Some Deep Representations". Proceedings of the 31st International Conference on Machine Learning. PMLR: 584–592. arXiv:1310
Inception (deep learning architecture)
Inception_(deep_learning_architecture)
Academic conference in machine learning
Experiment: Deep Learning Pioneers Take on Scientific Publishing". KDnuggets. Retrieved 2025-09-13. "13th Annual International Conference on Learning Representations
International Conference on Learning Representations
International_Conference_on_Learning_Representations
Class of artificial neural network
studies for Hebbian learning in these networks, and noted that a fully cross-coupled perceptron network is equivalent to an infinitely deep feedforward network
Recurrent_neural_network
American semiconductor company
supercomputers, and related software to power artificial intelligence deep-learning applications such as inference engines. Products include its wafer scale
Cerebras_Systems
Type of database that uses vectors to represent other data
from the raw data using machine learning methods such as feature extraction algorithms, word embeddings or deep learning networks. The goal is that semantically
Vector_database
Principle in artificial intelligence
consistently outperformed the hand-crafted approaches of the 1970s, and deep learning has continued this trend. Computer vision. Algorithms that were assumed
Bitter_lesson
American company
is Ceva's family of low-power artificial intelligence processors for deep learning. NeuPro processors are self-contained, specialized AI processors, scaling
Ceva_(semiconductor_company)
Hardware acceleration unit for artificial intelligence tasks
A neural processing unit (NPU), also known as an AI accelerator or deep learning processor, is a class of specialized hardware accelerator or computer
Neural_processing_unit
Academic conference in machine learning
International Conference on Machine Learning (ICML) is an international academic conference in machine learning held annually since 1980. It is the oldest
International Conference on Machine Learning
International_Conference_on_Machine_Learning
Nonprofit deep learning and AI research group
on deep learning and artificial intelligence. It was founded in 2016 by Jeremy Howard and Rachel Thomas with the goal of democratizing deep learning. They
Fast.ai
Engineering applied to artificial intelligence
for example) to determine the most suitable machine learning algorithm, including deep learning paradigms. Once an algorithm is chosen, optimizing it
Artificial intelligence engineering
Artificial_intelligence_engineering
Subfield of artificial intelligence
state-of-the-art machine learning for solving a wider range of problems more effectively. Neuro-symbolic AI recognises the value of deep learning as the “substrate”
Neuro-symbolic_AI
Method of speech synthesis that uses deep neural networks
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech)
Deep learning speech synthesis
Deep_learning_speech_synthesis
types of computer-aided chemistry would benefit from machine learning. A deep learning AI-based process has been developed that uses genome databases
Applications of artificial intelligence
Applications_of_artificial_intelligence
Machine learning conference
The Deep Learning Indaba is an annual conference and educational event that aims to strengthen machine learning and artificial intelligence (AI) capacity
Deep_Learning_Indaba
Concept of open-source software applied to AI
Neighbors (kNN), Naive Bayes and Support Vector Machines (SVM). Open-source deep learning framework as Torch was released in 2002 and made open-source with Torch7
Open-source artificial intelligence
Open-source_artificial_intelligence
Chinese artificial intelligence company
Zhejiang University. The company began stock trading using a GPU-dependent deep learning model on 21 October 2016; before then, it had used CPU-based linear
DeepSeek
used to accelerate machine learning and deep learning workloads Horovod — distributed training framework for deep learning Hugging Face Transformers —
Comparison of machine learning software
Comparison_of_machine_learning_software
AI whose outputs can be understood by humans
recently became a topic of research within deep learning. Modern complex AI techniques, such as deep learning, are naturally opaque. To address this issue
Explainable artificial intelligence
Explainable_artificial_intelligence
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
Image-generation models developed by OpenAI
developed by OpenAI. A text-to-image variant of the GPT family, it uses deep learning methodologies to generate digital images from natural language descriptions
GPT_Image
Machine learning technique
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related
Transfer_learning
Methods in artificial intelligence research
increase the power of neural networks." Over the next several years, deep learning had spectacular success in handling vision, speech recognition, speech
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Tuning parameter (hyperparameter) in optimization
often built in with deep learning libraries such as Keras. Time-based learning schedules alter the learning rate depending on the learning rate of the previous
Learning_rate
Computer graphics anti-aliasing algorithm
Deep Learning Anti-Aliasing (DLAA) is a form of spatial anti-aliasing developed by Nvidia. DLAA depends on and requires Tensor Cores available in Nvidia
Deep_Learning_Anti-Aliasing
Machine learning technique
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Machine learning model for speech
non-English languages into English. Whisper is a weakly-supervised deep learning acoustic model, made using an encoder-decoder transformer architecture
Whisper (speech recognition system)
Whisper_(speech_recognition_system)
Software company
specializes in developing natural-sounding speech synthesis software using deep learning. It was founded in 2022 by Polish entrepreneurs Piotr Dąbkowski and
ElevenLabs
control, procedural content generation (PCG) and deep learning-based content generation. Machine learning is a subset of artificial intelligence that uses
Machine learning in video games
Machine_learning_in_video_games
Canadian computer scientist
scientist most noted for his work on artificial neural networks and deep learning. In 2012, Krizhevsky, Ilya Sutskever and their PhD advisor Geoffrey
Alex_Krizhevsky
2017 research paper by Google
research paper in machine learning authored by eight scientists and engineers working at Google. The paper introduced a new deep learning architecture known
Attention_Is_All_You_Need
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology
Stable_Diffusion
Canadian AI researcher
working in the field of artificial intelligence. He specializes in deep learning, probabilistic graphical models, and large-scale optimization. Salakhutdinov's
Ruslan_Salakhutdinov
Decentralized machine learning
things, and pharmaceuticals. Federated learning aims at training a machine learning algorithm, for instance deep neural networks, on multiple local datasets
Federated_learning
Smooth approximation of one-hot arg max
Distributions". Deep Learning. MIT Press. pp. 180–184. ISBN 978-0-26203561-3. Bishop, Christopher M. (2006). Pattern Recognition and Machine Learning. Springer
Softmax_function
reverse-engineering the mammalian brain down to the molecular level. Google Brain, a deep learning project part of Google X attempting to have intelligence similar or
List of artificial intelligence projects
List_of_artificial_intelligence_projects
Deep learning artificial intelligence research team
Google Brain was a deep learning artificial intelligence research team that served as the sole AI branch of Google before being incorporated under the
Google_Brain
Medical imaging technique
Accelerated MRI. Journal of Machine Learning Research. 2023. Recht MP, Zbontar J, Sodickson DK, et al. Using Deep Learning to Accelerate Knee MRI at 3T: Results
Magnetic_resonance_imaging
Technology and methods used to provide imaging-based automatic inspection and analysis
are generally done by a CPU, a GPU, a FPGA or a combination of these. Deep learning training and inference impose higher processing performance requirements
Machine_vision
Overview of and topical guide to machine learning
Comparison of machine learning software Comparison of deep learning software Amazon Machine Learning Microsoft Azure Machine Learning Studio DistBelief (replaced
Outline_of_machine_learning
Machine learning paradigm
Self-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals
Self-supervised_learning
Indian computer scientist
Southern California. After Google, Vaswani co-founded Adept AI, a machine learning-focused startup that developed AI agents and tools for software automation
Ashish_Vaswani
Polish-American computer scientist
University of Warsaw. He then began his PhD at New York University (NYU) in deep learning under the supervision of Yann LeCun and Rob Fergus. Zaremba graduated
Wojciech_Zaremba
Set of learning techniques in machine learning
In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations
Feature_learning
Machine-learning and computational-neuroscience conference
machine learning and although the 'Neural' in the NeurIPS acronym had become something of a historical relic, the resurgence of deep learning in neural
Conference on Neural Information Processing Systems
Conference_on_Neural_Information_Processing_Systems
Image dataset
processing units (GPUs) during training, an essential ingredient of the deep learning revolution. According to The Economist, "Suddenly people started to
ImageNet
Use of machine learning to rank items
Learning to rank (LTR) or machine-learned ranking (MLR) is the application of machine learning, often supervised, semi-supervised or reinforcement learning
Learning_to_rank
Processing of natural language by a computer
Word2vec. In the 2010s, representation learning and deep neural network-style (featuring many hidden layers) machine learning methods became widespread in natural
Natural_language_processing
Type of artificial neural network
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a class of deep neural network, composed of multiple
Deep_belief_network
Type of AI with wide-ranging abilities
available in the twentieth century was not sufficient to implement deep learning, which requires large numbers of GPU-enabled CPUs. In the introduction
Artificial general intelligence
Artificial_general_intelligence
Line of Nvidia produced servers and workstations
Nvidia DGX (Deep GPU Xceleration) is a series of servers and workstations designed by Nvidia, primarily geared towards enhancing deep learning applications
Nvidia_DGX
Machine learning technique
previous section described MoE as it was used before the era of deep learning. After deep learning, MoE found applications in running the largest models, as
Mixture_of_experts
Series of GPUs by Nvidia
for hardware-accelerated real-time ray tracing, and fifth-generation deep learning–focused Tensor Cores. The GPUs are manufactured by TSMC on a custom
GeForce_RTX_50_series
Artificial intelligence division of Meta Platforms
self-supervised learning, generative adversarial networks, document classification and translation, and computer vision. FAIR released Torch deep-learning modules
Meta_AI
Branch of computer science
circumstances or configurations. Deep learning is employed for analysis of high-dimensional data. For instance, deep learning techniques can aid in examining
AI-assisted reverse engineering
AI-assisted_reverse_engineering
Process of automating the application of machine learning
of their model. If deep learning is used, the architecture of the neural network must also be chosen manually by the machine learning expert. Each of these
Automated_machine_learning
Usage of artificial intelligence to generate music
intelligence had been made, with generative adversarial networks (GANs) and deep learning being used to help AI compose more original music that is more complex
Artificial intelligence in music
Artificial_intelligence_in_music
Subfield of control engineering
research. In comparison to traditional machine learning, due to their deep architecture, deep learning models are able to learn more complex structures
Fault_detection_and_isolation
Store that does not contain a checkout
products. In the check-out phase, stores utilize sensor fusion and deep learning for computer vision to allow customers to walk out with their products
Cashierless_store
Computer scientist (born 1986)
specializes in machine learning. He has made several major contributions to the field of deep learning, including sequence-to-sequence learning, reasoning models
Ilya_Sutskever
Programming library
library that provides a high-level interface for PyTorch, a popular deep learning framework. It is a lightweight and high-performance framework that organizes
PyTorch_Lightning
Marketing name by Intel
Intel's Deep Learning Boost (DL Boost) is a marketing name for instruction set architecture (ISA) features on the x86-64 designed to improve performance
DL_Boost
Technique in information theory
more recently it has been suggested as a theoretical foundation for deep learning. It generalized the classical notion of minimal sufficient statistics
Information_bottleneck_method
Interdisciplinary research area
applicable to classical deep learning and vice versa. Furthermore, researchers investigate more abstract notions of learning theory with respect to quantum
Quantum_machine_learning
Type of machine learning model
multimodal models TensorRT-LLM – Nvidia software development kit for deep learning inference — open-source toolkit for optimizing and serving large language
Large_language_model
Structuring text as input to generative artificial intelligence
in-context learning is temporary. Training models to perform in-context learning can be viewed as a form of meta-learning, or "learning to learn". Research
Prompt_engineering
Similarity measure for number sequences
techniques. This normalised form distance is often used within many deep learning algorithms. In biology, there is a similar concept known as the Otsuka–Ochiai
Cosine_similarity
Soviet–Ukrainian mathematician and computer scientist
(GMDH), a method of inductive statistical learning, for which he is considered as one of the founders of deep learning. Aleksey was born in Kobelyaky, Poltava
Alexey_Ivakhnenko
DEEP LEARNING
DEEP LEARNING
Boy/Male
Hindu
A name of Sai baba
Boy/Male
Indian
Lover
Boy/Male
Sikh
Lamp, Light of the holy word (1)
Surname or Lastname
English
English : variant spelling of Dear.Scottish : habitational name from (Old and New) Deer in Aberdeenshire.Hungarian : variant of Dér, from the secular personal name.
Surname or Lastname
Indian (northern states)
Indian (northern states) : Hindu name meaning ‘lamp’, from Sanskrit dīpa. It occurs commonly as the final element of compound personal names, e.g. in Kuldeep ‘light of the family’. Subsequently, it appears to have evolved into a surname.English : presumably from the adjective deep, either a topographic name for someone who lived in a deep valley, or perhaps a nickname for a ‘deep’, thoughtful person.
Surname or Lastname
English
English : occupational name for a jailer or someone employed at a keep or castle, Middle English kepe.Americanized spelling of German Kiep, from a short form of the old personal name Gebolf, from a Germanic personal name composed of the elements geb ‘gift’ + wolf ‘wolf’. Compare Gebhardt.
Girl/Female
Indian, Sikh
Lotus in the Lamp of Light
Boy/Male
Assamese, Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Oriya, Punjabi, Sanskrit, Sikh, Sindhi, Tamil, Telugu, Traditional
Superior to Infinity; A Lamp
Boy/Male
Hindu
Divine, Divine luster, Heavenly
Surname or Lastname
English and Irish
English and Irish : variant of Dean.Dutch : ethnic name for a Dane, Middle Dutch Deen.
Male
English
English unisex short form of longer names beginning with the letter "D." In some cases, it may be of Scottish origin, associated with the River Dee, possibly DEE means "dark water." Compare with strictly feminine Dee.
Female
English
English unisex short form of longer names beginning with the letter "D." In some cases, it may be of Scottish origin, associated with the River Dee, possibly DEE means "dark water." Short form of English Deena, meaning "dean, head, leader."
Girl/Female
Tamil
Indrina | இநà¯à®¤à¯à®°à®¿à®¨à®¾
Deep
Indrina | இநà¯à®¤à¯à®°à®¿à®¨à®¾
Girl/Female
Indian, Traditional
God Writes
Boy/Male
Hindu
A lamp, Beautiful
Girl/Female
Indian, Punjabi, Sikh
The Lamp of Light
Girl/Female
Assamese, Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Sindhi, Telugu, Traditional
Deep
Boy/Male
Indian
Lamp, Light of the holy word
Boy/Male
Indian, Modern
Powerful Man
Boy/Male
Hindu, Indian
Deep
DEEP LEARNING
DEEP LEARNING
Male
Czechoslovakian
, glorious peace.
Male
Hindi/Indian
(रावण) Hindi name RAVANA means "person with ten necks." In Hindu mythology, this is the name of a demon king of Ceylon who kidnapped Rama's wife, Sita.
Boy/Male
Tamil
Shreepadma | à®·à¯à®°à¯€à®ªà®¤à®®à®¾à®‚
Lord Krishna
Girl/Female
Indian, Tamil
Goddess Laxmi
Boy/Male
Indian, Punjabi, Sikh
Light of the Brave
Boy/Male
American, Australian, British, Christian, English, German, Teutonic
From the Hare's Land; From the Army
Boy/Male
Indian, Sanskrit
Chief of Men; Lord of Beings
Girl/Female
British, English
Whiskey
Boy/Male
Irish
Hooded.
Boy/Male
Indian
Happy
DEEP LEARNING
DEEP LEARNING
DEEP LEARNING
DEEP LEARNING
DEEP LEARNING
a.
Sunk to the knees; as, men knee-deep in water.
superl.
Extending far below the surface; of great perpendicular dimension (measured from the surface downward, and distinguished from high, which is measured upward); far to the bottom; having a certain depth; as, a deep sea.
superl.
Hard to penetrate or comprehend; profound; -- opposed to shallow or superficial; intricate; mysterious; not obvious; obscure; as, a deep subject or plot.
superl.
Profound; thorough; complete; unmixed; intense; heavy; heartfelt; as, deep distress; deep melancholy; deep horror.
a.
Having a deep waist, as when, in a ship, the poop and forecastle are much elevated above the deck.
superl.
Strongly colored; dark; intense; not light or thin; as, deep blue or crimson.
a.
Of or pertaining to the deeper parts of the sea; as, a deep-sea line (i. e., a line to take soundings at a great depth); deep-sea lead; deep-sea soundings, explorations, etc.
n.
That which is deep, especially deep water, as the sea or ocean; an abyss; a great depth.
a.
Laid deeply; formed with cunning and sagacity; as, deep-laid plans.
v. t.
To supply with necessaries of life; to entertain; as, to keep boarders.
v. t.
To observe duty, as a festival, etc. ; to celebrate; to solemnize; as, to keep a feast.
a.
Rising to the knees; knee-high; as, water or snow knee-deep.
a.
Deep as from the breast to the feet; as high as the breast.
v. t.
To continue in, as a course or mode of action; not to intermit or fall from; to hold to; to maintain; as, to keep silence; to keep one's word; to keep possession.
superl.
Extending far back from the front or outer part; of great horizontal dimension (measured backward from the front or nearer part, mouth, etc.); as, a deep cave or recess or wound; a gallery ten seats deep; a company of soldiers six files deep.
v. i.
To remain in any position or state; to continue; to abide; to stay; as, to keep at a distance; to keep aloft; to keep near; to keep in the house; to keep before or behind; to keep in favor; to keep out of company, or out reach.
superl.
Low in situation; lying far below the general surface; as, a deep valley.
n.
The act of a villain; a deed of deep depravity; a crime.
n.
The state of being kept; hence, the resulting condition; case; as, to be in good keep.