GitHub

BatchNormalization fails after Concatenation of masked Embeddings

import keras import numpy as np rng = np.random.default_rng(123) data_1 = rng.choice(9, size=(50, 20)) + 1 data_2 = rng.choice(2, size=(50, 20)) + 1 y = rng.normal(0 ...
Hosted on MSN

Layer Normalization In Transformers — Simplest Explanation Ever!

Still confused about layer normalization? This beginner-friendly breakdown makes it crystal clear. #LayerNormalization #AIForBeginners #TransformersExplained #LayerNormalization #Transformers ...
IEEE

An Energy-Efficient Image Deblurring Accelerator With Quad-Base-Quad-Scale Quantized Format and Layer Normalization-Aware Optimization

Abstract: This brief proposes a novel data-format-based image deblurring accelerator with layer normalization and UNet architecture optimization for mobile cameras. As the demand for photography in ...
marktechpost

Dynamic Tanh DyT: A Simplified Alternative to Normalization in Transformers

Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and ...
marktechpost

Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and Post-Layer Normalization

The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages and topics, the ability to understand and ...
IEEE

Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios

Abstract: Training Deep Learning (DL) models require large, high-quality datasets, often assembled with data from different institutions. Federated Learning (FL) has been emerging as a method for ...