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Nightwalker Tech
Nightwalker Tech
Jul 19, 2023 · Artificial Intelligence

Step‑by‑Step Implementation of Transformer Blocks, Attention, Normalization, Feed‑Forward, Encoder and Decoder in PyTorch

This article provides a comprehensive tutorial on building the core components of a Transformer model—including multi‑head attention, layer normalization, feed‑forward networks, encoder and decoder layers—and assembles them into a complete PyTorch implementation, supplemented with explanatory diagrams and runnable code.

AttentionDecoderEncoder
0 likes · 13 min read
Step‑by‑Step Implementation of Transformer Blocks, Attention, Normalization, Feed‑Forward, Encoder and Decoder in PyTorch
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Sep 28, 2022 · Artificial Intelligence

EGBAD: Efficient GAN‑Based Anomaly Detection – Theory and Practical Implementation

This article introduces the EGBAD model, an efficient GAN‑based anomaly detection method that replaces AnoGAN's costly latent variable search with an encoder, provides detailed PyTorch code for data loading, model construction, training, and inference, and compares its testing speed with AnoGAN.

DiscriminatorEGBADEncoder
0 likes · 18 min read
EGBAD: Efficient GAN‑Based Anomaly Detection – Theory and Practical Implementation