Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Deep Learning with Yacine on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
marktechpost

Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and Gradient Checkpointing on the Alpaca-14k Dataset

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...
Scientific Research Publishing

LeCun (1998) Gradient-Based Learning Applied to Document Recognition.

ABSTRACT: This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a ...
marktechpost

Meet snnTorch: An Open-Source Python Package for Performing Gradient-based Learning with Spiking Neural Networks

In artificial intelligence, efficiency, and environmental impact have become paramount concerns. Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library ...
GitHub

EEG gradient artefact correction pre-processing function

Code implementation of the moving average filter described in Ferreira, José L et al. (2016). Possibly translating the FASTR function from the fMRIB matlab package that already performs this ...
IEEE

Training Spiking Neural Networks Using Lessons From Deep Learning

Abstract: The brain is the perfect place to look for inspiration to develop more efficient neural networks. The inner workings of our synapses and neurons provide a glimpse at what the future of deep ...