来自MSN

Mini Batch Gradient Descent | Deep Learning | with Stochastic Gradient Descent

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
The New York Times

They Criticized Musk on X. Then Their Reach Collapsed.

Anastasia Maria Loupis Average daily views on X 43.1 million views Post on Dec. 2 goes viral Anastasia Maria Loupis runs a popular account on X that used to receive hundreds of thousands of views each ...
marktechpost

Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and ...

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 ...
GitHub

batch-gradient-descent

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IEEE

Mini-batch gradient descent: Faster convergence under data sparsity

Abstract: The practical performance of stochastic gradient descent on large-scale machine learning tasks is often much better than what current theoretical tools can guarantee. This indicates that ...
IEEE

Budgeted mini-batch parallel gradient descent for support vector machines on Spark

Abstract: Mini-batch gradient descent (MBGD) is an attractive choice for support vector machines (SVM), because processing part of examples at a time is advantageous when disposing large data. Similar ...
GitHub

Linear Regression with Gradient Descent.ipynb

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