Deep Learning

Activation Functions
Activation Functions

Activation Functions

Activation functions are fundamental to artificial neural networks, introducing non-linearity and enabling learning of complex patterns. This article explores t...

3 min read
Activation Functions Neural Networks +3
AI in Healthcare
AI in Healthcare

AI in Healthcare

Artificial Intelligence (AI) in healthcare leverages advanced algorithms and technologies like machine learning, NLP, and deep learning to analyze complex medic...

5 min read
AI Healthcare +8
AllenNLP
AllenNLP

AllenNLP

AllenNLP is a robust open-source library for NLP research, built on PyTorch by AI2. It offers modular, extensible tools, pre-trained models, and easy integratio...

4 min read
NLP Open Source +6
Anomaly Detection in Images
Anomaly Detection in Images

Anomaly Detection in Images

Anomaly detection in images identifies patterns that deviate from the norm, crucial for applications like industrial inspection and medical imaging. Learn about...

4 min read
Anomaly Detection Image Analysis +4
Artificial Neural Networks (ANNs)
Artificial Neural Networks (ANNs)

Artificial Neural Networks (ANNs)

Artificial Neural Networks (ANNs) are a subset of machine learning algorithms modeled after the human brain. These computational models consist of interconnecte...

3 min read
Artificial Neural Networks Machine Learning +3
Backpropagation
Backpropagation

Backpropagation

Backpropagation is an algorithm for training artificial neural networks by adjusting weights to minimize prediction error. Learn how it works, its steps, and it...

3 min read
AI Machine Learning +3
Batch Normalization
Batch Normalization

Batch Normalization

Batch normalization is a transformative technique in deep learning that significantly enhances the training process of neural networks by addressing internal co...

4 min read
AI Deep Learning +3
BERT
BERT

BERT

Discover BERT (Bidirectional Encoder Representations from Transformers), an open-source machine learning framework developed by Google for natural language proc...

6 min read
BERT NLP +5
Bidirectional LSTM
Bidirectional LSTM

Bidirectional LSTM

Bidirectional Long Short-Term Memory (BiLSTM) is an advanced type of Recurrent Neural Network (RNN) architecture that processes sequential data in both forward ...

2 min read
Bidirectional LSTM BiLSTM +4
BMXNet
BMXNet

BMXNet

BMXNet is an open-source implementation of Binary Neural Networks (BNNs) based on Apache MXNet, enabling efficient AI deployment with binary weights and activat...

9 min read
Binary Neural Networks MXNet +4
Caffe
Caffe

Caffe

Caffe is an open-source deep learning framework from BVLC, optimized for speed and modularity in building convolutional neural networks (CNNs). Widely used in i...

6 min read
Caffe Deep Learning +4
Chainer
Chainer

Chainer

Chainer is an open-source deep learning framework offering a flexible, intuitive, and high-performance platform for neural networks, featuring dynamic define-by...

4 min read
Deep Learning AI +4
Computer Vision
Computer Vision

Computer Vision

Computer Vision is a field within artificial intelligence (AI) focused on enabling computers to interpret and understand the visual world. By leveraging digital...

5 min read
AI Computer Vision +4
Convergence
Convergence

Convergence

Convergence in AI refers to the process by which machine learning and deep learning models attain a stable state through iterative learning, ensuring accurate p...

6 min read
AI Convergence +4
Convolutional Neural Network (CNN)
Convolutional Neural Network (CNN)

Convolutional Neural Network (CNN)

A Convolutional Neural Network (CNN) is a specialized type of artificial neural network designed for processing structured grid data, such as images. CNNs are p...

5 min read
Convolutional Neural Network CNN +3
Dall-E
Dall-E

Dall-E

DALL-E is a series of text-to-image models developed by OpenAI, using deep learning to generate digital images from textual descriptions. Learn about its histor...

3 min read
AI Generative AI +4
Deep Belief Networks (DBNs)
Deep Belief Networks (DBNs)

Deep Belief Networks (DBNs)

A Deep Belief Network (DBN) is a sophisticated generative model utilizing deep architectures and Restricted Boltzmann Machines (RBMs) to learn hierarchical data...

5 min read
Deep Learning Generative Models +3
Deep Learning
Deep Learning

Deep Learning

Deep Learning is a subset of machine learning in artificial intelligence (AI) that mimics the workings of the human brain in processing data and creating patter...

3 min read
Deep Learning AI +5
DL4J
DL4J

DL4J

DL4J, or DeepLearning4J, is an open-source, distributed deep learning library for the Java Virtual Machine (JVM). Part of the Eclipse ecosystem, it enables scal...

5 min read
Deep Learning Java +4
Dropout
Dropout

Dropout

Dropout is a regularization technique in AI, especially neural networks, that combats overfitting by randomly disabling neurons during training, promoting robus...

4 min read
AI Neural Networks +3
Embedding Vector
Embedding Vector

Embedding Vector

An embedding vector is a dense numerical representation of data in a multidimensional space, capturing semantic and contextual relationships. Learn how embeddin...

4 min read
AI Embeddings +4
Fine-Tuning
Fine-Tuning

Fine-Tuning

Model fine-tuning adapts pre-trained models for new tasks by making minor adjustments, reducing data and resource needs. Learn how fine-tuning leverages transfe...

7 min read
Fine-Tuning Transfer Learning +6
Fréchet inception distance (FID)
Fréchet inception distance (FID)

Fréchet inception distance (FID)

Fréchet Inception Distance (FID) is a metric used to evaluate the quality of images produced by generative models, particularly GANs. FID compares the distribut...

3 min read
GANs Image Quality +3
Generative AI (Gen AI)
Generative AI (Gen AI)

Generative AI (Gen AI)

Generative AI refers to a category of artificial intelligence algorithms that can generate new content, such as text, images, music, code, and videos. Unlike tr...

2 min read
AI Generative AI +3
Generative pre-trained transformer (GPT)
Generative pre-trained transformer (GPT)

Generative pre-trained transformer (GPT)

A Generative Pre-trained Transformer (GPT) is an AI model that leverages deep learning techniques to produce text closely mimicking human writing. Based on the ...

2 min read
GPT AI +5
Gradient Descent
Gradient Descent

Gradient Descent

Gradient Descent is a fundamental optimization algorithm widely employed in machine learning and deep learning to minimize cost or loss functions by iteratively...

5 min read
Machine Learning Deep Learning +3
Horovod
Horovod

Horovod

Horovod is a robust, open-source distributed deep learning training framework designed to facilitate efficient scaling across multiple GPUs or machines. It supp...

4 min read
Distributed Training Deep Learning +3
Ideogram AI
Ideogram AI

Ideogram AI

Ideogram AI is an innovative image generation platform that uses artificial intelligence to turn text prompts into high-quality images. By leveraging deep learn...

10 min read
AI Image Generation +3
Image Recognition
Image Recognition

Image Recognition

Find out what is Image Recognition in AI. What is it used for, what are the trends and how it differs from similar technologies.

3 min read
AI Image Recognition +6
Instance Segmentation
Instance Segmentation

Instance Segmentation

Instance segmentation is a computer vision task that detects and delineates each distinct object in an image with pixel-level precision. It enhances application...

8 min read
Instance Segmentation Computer Vision +5
Keras
Keras

Keras

Keras is a powerful and user-friendly open-source high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano...

5 min read
Keras Deep Learning +3
Large language model (LLM)
Large language model (LLM)

Large language model (LLM)

A Large Language Model (LLM) is a type of AI trained on vast textual data to understand, generate, and manipulate human language. LLMs use deep learning and tra...

8 min read
AI Large Language Model +4
Long Short-Term Memory (LSTM)
Long Short-Term Memory (LSTM)

Long Short-Term Memory (LSTM)

Long Short-Term Memory (LSTM) is a specialized type of Recurrent Neural Network (RNN) architecture designed to learn long-term dependencies in sequential data. ...

7 min read
Deep Learning LSTM +5
MXNet
MXNet

MXNet

Apache MXNet is an open-source deep learning framework designed for efficient and flexible training and deployment of deep neural networks. Known for its scalab...

7 min read
Deep Learning AI +4
Natural language processing (NLP)
Natural language processing (NLP)

Natural language processing (NLP)

Natural Language Processing (NLP) enables computers to understand, interpret, and generate human language using computational linguistics, machine learning, and...

3 min read
NLP AI +5
Neural Networks
Neural Networks

Neural Networks

A neural network, or artificial neural network (ANN), is a computational model inspired by the human brain, essential in AI and machine learning for tasks like ...

6 min read
Neural Networks AI +6
Neuromorphic computing
Neuromorphic computing

Neuromorphic computing

Neuromorphic computing is a cutting-edge approach to computer engineering that models both hardware and software elements after the human brain and nervous syst...

2 min read
Neuromorphic Computing AI +5
Optical Character Recognition (OCR)
Optical Character Recognition (OCR)

Optical Character Recognition (OCR)

Optical Character Recognition (OCR) is a transformative technology that converts documents such as scanned papers, PDFs, or images into editable and searchable ...

6 min read
OCR Document Processing +5
Pose Estimation
Pose Estimation

Pose Estimation

Pose estimation is a computer vision technique that predicts the position and orientation of a person or object in images or videos by identifying and tracking ...

6 min read
Computer Vision Deep Learning +3
PyTorch
PyTorch

PyTorch

PyTorch is an open-source machine learning framework developed by Meta AI, renowned for its flexibility, dynamic computation graphs, GPU acceleration, and seaml...

9 min read
PyTorch Deep Learning +4
Recurrent Neural Network (RNN)
Recurrent Neural Network (RNN)

Recurrent Neural Network (RNN)

Recurrent Neural Networks (RNNs) are a sophisticated class of artificial neural networks designed to process sequential data by utilizing memory of previous inp...

4 min read
RNN Neural Networks +5
Reinforcement Learning
Reinforcement Learning

Reinforcement Learning

Reinforcement Learning (RL) is a subset of machine learning focused on training agents to make sequences of decisions within an environment, learning optimal be...

11 min read
Reinforcement Learning AI +5
Scene Text Recognition (STR)
Scene Text Recognition (STR)

Scene Text Recognition (STR)

Scene Text Recognition (STR) is a specialized branch of Optical Character Recognition (OCR) focused on identifying and interpreting text within images captured ...

6 min read
AI Computer Vision +3
Semantic Segmentation
Semantic Segmentation

Semantic Segmentation

Semantic segmentation is a computer vision technique that partitions images into multiple segments, assigning each pixel a class label representing an object or...

6 min read
Semantic Segmentation Computer Vision +3
Sequence Modeling
Sequence Modeling

Sequence Modeling

Discover sequence modeling in AI and machine learning—predict and generate sequences in data like text, audio, and DNA using RNNs, LSTMs, GRUs, and Transformers...

7 min read
Sequence Modeling RNN +7
Stable Diffusion
Stable Diffusion

Stable Diffusion

Stable Diffusion is an advanced text-to-image generation model that uses deep learning to produce high-quality, photorealistic images from textual descriptions....

12 min read
Stable Diffusion AI +5
TensorFlow
TensorFlow

TensorFlow

TensorFlow is an open-source library developed by the Google Brain team, designed for numerical computation and large-scale machine learning. It supports deep l...

3 min read
TensorFlow Machine Learning +3
Torch
Torch

Torch

Torch is an open-source machine learning library and scientific computing framework based on Lua, optimized for deep learning and AI tasks. It provides tools fo...

6 min read
Torch Deep Learning +3
Transfer Learning
Transfer Learning

Transfer Learning

Transfer learning is a sophisticated machine learning technique that enables models trained on one task to be reused for a related task, improving efficiency an...

3 min read
AI Machine Learning +3
Transfer Learning
Transfer Learning

Transfer Learning

Transfer Learning is a powerful AI/ML technique that adapts pre-trained models to new tasks, improving performance with limited data and enhancing efficiency ac...

3 min read
AI Machine Learning +4
Transformers
Transformers

Transformers

Transformers are a revolutionary neural network architecture that has transformed artificial intelligence, especially in natural language processing. Introduced...

7 min read
AI Transformers +4
What is Fastai?
What is Fastai?

What is Fastai?

Fastai is a deep learning library built on PyTorch, offering high-level APIs, transfer learning, and a layered architecture to simplify neural network developme...

10 min read
Fastai Deep Learning +5

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