The Ups and Downs of Probability Distributions in Deep Learning
Kaan Berke UGURLAR
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13 posts published so far
Linearity and Non-Linearity in Deep Learning: Why We Need Both
Kaan Berke UGURLAR
Why Logarithmic Functions?
Kaan Berke UGURLAR
Mastering Batch Normalization for Neural Networks
Kaan Berke UGURLAR
This New Optimizer Called Lion Could Replace Adam as the Go-To for Training Neural Nets
Kaan Berke UGURLAR
Comprehending Deep Learning Models with Explainable AI
Kaan Berke UGURLAR
The Evolution of Transformers: From BERT to Models with Billions of Parameters
Kaan Berke UGURLAR
Time Travel with Git: How to Commit in the Past
Kaan Berke UGURLAR
Fine-tuning OpenAI's OpenClip Model for Image Classification Tasks
Kaan Berke UGURLAR
From Noise to Masterpiece: Unraveling and Coding Diffusion Models with PyTorch Lightning
Kaan Berke UGURLAR
Generative AI: A Comprehensive Overview of Its History and Impact
Kaan Berke UGURLAR
How to use ImageDataGenerator in TensorFlow?
Kaan Berke UGURLAR
What is a virtual environment and how to use pyenv?
Kaan Berke UGURLAR