Скачать или смотреть 2.9 Parameter Tying & Weight Sharing | Smarter, Leaner Neural Networks | Deep Learning

Build smarter and leaner neural networks by mastering Parameter Tying and Weight Sharing!
In this video you’ll discover how these powerful techniques reduce the number of trainable parameters, cut memory usage, and improve model generalization—without sacrificing accuracy.

✅ What You’ll Learn

The concept of parameter tying and how it enforces constraints across network layers

Weight sharing in convolutional and recurrent neural networks

Real examples showing how fewer parameters lead to faster, more efficient training

Implementation tips in TensorFlow and PyTorch

Practical scenarios where parameter tying helps deploy models on edge devices

Perfect for data scientists, AI engineers, and students looking to optimize deep learning models for speed and scalability.