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

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Donald Trump's Epstein problem keeps coming back Michael ...

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 ...

This repository provides a Python implementation of the gradient projected conjugate gradient algorithm (GPCG) presented in [1] for solving bound-constrained quadratic programs of the form ...

Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm. It has quite effective implementations such as XGBoost as many optimization techniques are adopted from this algorithm.

While building a deep learning model there are a lot of different things we need to define. First building the model with input layers followed by different dense layers and at last the output layer.

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