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Deep Learning

This tag is for discussing, sharing articles, and asking questions primarily on deep learning - a subfield of machine learning.

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A Primer to Framing Business Problems for Machine Learning

A Primer to Framing Business Problems for Machine Learning

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6 min read
What are AI parameters?

What are AI parameters?

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3 min read
🔥 De‑constructing Cognition and Why LLMs Can’t Replicate It

🔥 De‑constructing Cognition and Why LLMs Can’t Replicate It

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4 min read
TXT Notepad: Meet TXT OS — An Open-Source AI Reasoning System in One .txt File

TXT Notepad: Meet TXT OS — An Open-Source AI Reasoning System in One .txt File

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2 min read
Introduction to MLOps: Managing the Machine Learning Lifecycle

Introduction to MLOps: Managing the Machine Learning Lifecycle

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4 min read
Gradient Descent on Token Input Embeddings

Gradient Descent on Token Input Embeddings

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9 min read
LLDA: A New Paradigm in Large Language Models Using Diffusion Techniques

LLDA: A New Paradigm in Large Language Models Using Diffusion Techniques

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2 min read
Understanding Gradient Descent for Beginners: The Core of Neural Network Learning

Understanding Gradient Descent for Beginners: The Core of Neural Network Learning

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3 min read
TensorFlow implementation for optimizers

TensorFlow implementation for optimizers

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1 min read
My Journey into AI: Understanding the Building Blocks of Deep Learning (NLP Focused)

My Journey into AI: Understanding the Building Blocks of Deep Learning (NLP Focused)

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3 min read
So, I Got Interested in AI…

So, I Got Interested in AI…

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2 min read
Decoding the "Attention Is All You Need"......

Decoding the "Attention Is All You Need"......

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15 min read
Neural DSL v0.2.7: Enhanced HPO Support and Parser Improvements

Neural DSL v0.2.7: Enhanced HPO Support and Parser Improvements

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3 min read
Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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47 min read
Recent Advances in Machine Learning: Efficiency, Interpretability, and Robustness

Recent Advances in Machine Learning: Efficiency, Interpretability, and Robustness

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10 min read
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