Author

Learner

@prathyup

articles: 34
total claps: 87
top claps: 55
avg read: 3.6 min
paywalled: 8
active: 2025-09-14 → 2026-08-10

Wiki topics

EDU · Education & Learning · 25 ML · Machine Learning · 24 AI · AI · General · 15 ⏱️ · Productivity · 4 🚀 · Self Improvement · 4 🏛️ · Architecture · 3 PSY · Psychology · 3 👨‍👩‍👧 · Family & Parenting · 3

Top tags

#deep-learning ·24 #artificial-intelligence ·13 #neural-networks ·11 #machine-learning ·8 #activation-functions ·6 #computer-vision ·4 #cnn ·3 #self-improvement ·3 #productivity ·2 #parenting ·2

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Density-Based Clustering with DBSCAN

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Feb 28, 2026 · 3 min read · 55 claps #machine-learning #deep-learning #density-based-clustering

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Hyperparameter Tuning: Optimizing Machine Learning Models for Best Performance

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Mar 25, 2026 · 3 min read · 6 claps #machine-learning #deep-learning #hyperparameter-tuning

Hyperparameter Tuning: Optimizing Machine Learning Models for Best Performance

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Linear Activation Function: Why It Fails in Deep Learning

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May 11, 2026 · 3 min read · 4 claps #deep-learning #linear-activation-func #neural-networks

Linear Activation Function: Why It Fails in Deep Learning

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From Silence to Strength: A Husband’s Journey to Self-Respect

In Indian families, dignity isn’t personal—it shapes the entire household. Here’s how men can grow without breaking bonds.

Sep 14, 2025 · 3 min read · 4 claps #family #self-improvement #marriage

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Regularization Techniques: How Deep Learning Models Prevent Overfitting

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May 25, 2026 · 4 min read · 2 claps #deep-learning #regularization #overfitting

Regularization Techniques: How Deep Learning Models Prevent Overfitting

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Bahdanau Attention: The First Practical Attention Mechanism

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Aug 10, 2026 · 5 min read · 1 claps #bahdanau-attention #additive-attention #attention-mechanism

Bahdanau Attention: The First Practical Attention Mechanism

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Encoder-Decoder Architecture: The Foundation of Modern Segmentation Models

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Jul 06, 2026 · 5 min read · 1 claps #encoder-decoder-arc #deep-learning #image-segmentation

Encoder-Decoder Architecture: The Foundation of Modern Segmentation Models

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Optimizers in Deep Learning: SGD vs Momentum vs RMSProp vs Adam

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Jun 04, 2026 · 4 min read · 1 claps #deep-learning #optimizer #adam-optimizer

Optimizers in Deep Learning: SGD vs Momentum vs RMSProp vs Adam

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Random Forests: Power of Ensemble Learning

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Feb 16, 2026 · 4 min read · 1 claps #machine-learning #deep-learning #random-forest

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Comparing Activation Functions: Step vs Linear vs Sigmoid vs Tanh vs ReLU

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May 15, 2026 · 4 min read · 1 claps #deep-learning #activation-functions #relu-vs-sigmoid

Comparing Activation Functions: Step vs Linear vs Sigmoid vs Tanh vs ReLU

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Batch Size vs Epochs vs Iterations: Understanding the Core Training Terminology

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Jun 04, 2026 · 4 min read · 1 claps #deep-learning #batch-size #epoch

Batch Size vs Epochs vs Iterations: Understanding the Core Training Terminology

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UMAP (Uniform Manifold Approximation and Projection)

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Mar 10, 2026 · 4 min read · 1 claps #machine-learning #deep-learning #artificial-intelligence

UMAP (Uniform Manifold Approximation and Projection)

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Overfitting vs Underfitting: Why Neural Networks Sometimes Fail to Generalize

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May 25, 2026 · 4 min read · 1 claps #deep-learning #overfitting #underfitting

Overfitting vs Underfitting: Why Neural Networks Sometimes Fail to Generalize

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Boosting: Turning Weak Learners into Strong Models

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Mar 13, 2026 · 4 min read · 1 claps #machine-learning #deep-learning #ensemble-learning

Boosting: Turning Weak Learners into Strong Models

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Forward Propagation: How Data Actually Moves Through a Neural Network

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May 16, 2026 · 4 min read · 1 claps #deep-learning #forward-propagation #neural-networks

Forward Propagation: How Data Actually Moves Through a Neural Network

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Sigmoid Function: The Activation Function That Introduced Probability-Based Learning

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May 13, 2026 · 4 min read · 1 claps #deep-learning #sigmoid-function #activation-functions

Sigmoid Function: The Activation Function That Introduced Probability-Based Learning

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Tanh Function: A Better Alternative to Sigmoid?

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May 13, 2026 · 3 min read · 1 claps #deep-learning #tanh-function #activation-functions

Tanh Function: A Better Alternative to Sigmoid?

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t-Distributed Stochastic Neighbor Embedding (t-SNE)

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Mar 05, 2026 · 3 min read · 1 claps #machine-learning #deep-learning #artificial-intelligence

t-Distributed Stochastic Neighbor Embedding (t-SNE)

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ReLU Function: The Activation Function That Changed Deep Learning

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May 15, 2026 · 3 min read · 1 claps #deep-learning #relu-function #activation-functions

ReLU Function: The Activation Function That Changed Deep Learning

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AdaBoost (Adaptive Boosting): Learning from Mistakes Step-by-Step

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Mar 17, 2026 · 3 min read · 1 claps #machine-learning #deep-learning #ensemble-learning

AdaBoost (Adaptive Boosting): Learning from Mistakes Step-by-Step

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Handling Imbalanced Datasets: Techniques for Better Model Performance

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Apr 03, 2026 · 3 min read · 1 claps #machine-learning #deep-learning #imbalanced-data

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Two Parenting Styles, Two Different Games

My mother never explained why I had to do something. The answer was always simple: “Because I said so.” If I questioned her, I’d face…

Jan 19, 2026 · 5 min read · 0 claps paywalled #parenting #rich-people #design-thinking

Two Parenting Styles, Two Different Games

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Popular CNN Architectures: LeNet, AlexNet, VGG, ResNet and the Evolution of Computer Vision

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Jun 22, 2026 · 4 min read · 0 claps #cnn #alexnet #resnet

Popular CNN Architectures: LeNet, AlexNet, VGG, ResNet and the Evolution of Computer Vision

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How Convolution Works in CNNs: Understanding Filters, Kernels & Feature Maps

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Jun 09, 2026 · 4 min read · 0 claps #deep-learning #cnn #map-features

How Convolution Works in CNNs: Understanding Filters, Kernels & Feature Maps

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Artificial Neural Networks (ANN): Understanding the Complete Architecture

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May 19, 2026 · 4 min read · 0 claps #deep-learning #artificial-neural-network #ann-architecture