Deep-Learning
All articles
36 total
PyTorch New
PyTorch is the open-source deep learning framework behind most modern AI …
Added 1 Jul
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Upd 1 Jul
·6 min
TensorFlow New
TensorFlow is Google's open-source end-to-end machine learning platform, …
Added 1 Jul
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Upd 1 Jul
·6 min
TensorFlow (2015) New
Google's open-source machine learning framework for building and …
History
Added 23 Jun
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Upd 23 Jun
·5 min
What is a Neural Network? New
A neural network is the core architecture behind modern AI. …
Basics
Added 22 Jun
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Upd 22 Jun
·4 min
What is Machine Learning? New
Machine learning is how AI learns from data instead of following …
Basics
Added 22 Jun
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Upd 22 Jun
·5 min
Activation Function
What activation functions are, how they enable neural networks to learn …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Attention Mechanism
What attention mechanisms are, how they enable transformers to process …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Autoencoder
What autoencoders are, how they learn compressed data representations, …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Backpropagation
What backpropagation is, how it computes gradients for neural network …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Batch Normalization
What batch normalization is, how it stabilizes neural network training, …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Computer Vision
What computer vision is, how it works in AI applications, and how AWS …
Glossary
Added 24 Mar
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Upd 30 May
·4 min
Computer Vision for Enterprise Applications
A practical guide to implementing computer vision in enterprise …
Guides
Added 28 Mar
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Upd 30 May
·5 min
Convolutional Neural Network
How CNNs extract spatial features from images and why architectures like …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Deep Learning
What deep learning is, how it differs from traditional machine learning, …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Deep Reinforcement Learning
How deep RL algorithms like DQN, PPO, and A3C combine neural networks …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Diffusion Models
What diffusion models are, how they generate images and other media, and …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Dropout
What dropout is, how it prevents overfitting in neural networks, and …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
GAN
Generative Adversarial Network
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Gradient Descent
What gradient descent is, how it optimizes neural networks, and the …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Graph Neural Network
How GNNs process graph-structured data for node classification, link …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Hugging Face Transformers
Open-Source Model Library
Tools
Added 28 Mar
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Upd 30 May
·3 min
Knowledge Distillation
How teacher-student training compresses large models into smaller, …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Kolmogorov-Arnold Network
How KANs replace fixed activation functions with learnable functions on …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Loss Function
What loss functions are, how they guide model training, and which loss …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Multimodal Model
How models like GPT-4o and Gemini process text, images, audio, and video …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Neural Architecture Search
How automated methods discover optimal neural network architectures …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Neural Network
What neural networks are, how they learn from data, and where they fit …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Neural Radiance Field
How NeRF reconstructs photorealistic 3D scenes from 2D images using …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Pruning
How structured and unstructured pruning reduce neural network size by …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Quantization
How INT8 and INT4 quantization compress neural network models for faster …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Recurrent Neural Network
How RNNs, LSTMs, and GRUs process sequential data, the vanishing …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
State Space Model
How structured state space models like Mamba and S4 achieve linear-time …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Temporal Convolutional Network
How causal dilated convolutions provide an efficient alternative to RNNs …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Transformer Architecture
What the transformer architecture is, how it differs from prior …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Variational Autoencoder
How VAEs learn structured latent spaces for generation, interpolation, …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Vision Transformer
How Vision Transformers (ViT) apply the transformer architecture to …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
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