List: Deep Learning | Curated by Moklesur Rahman | Medium

Moklesur Rahman

Mar 24, 2023

7 stories

Deep Learning

Moklesur Rahman

5 Reasons for Why Your Machine Learning Model Gives Bad Results

Machine learning has revolutionized the way businesses operate, by enabling them to automate their processes and make data-driven…

Feb 19, 2023

Insufficient or Poor Quality Data

Feb 19, 2023

Moklesur Rahman

What You Need to Know about Sparse Categorical Cross Entropy

Sparse Categorical Cross Entropy is a loss function that is commonly used in machine learning algorithms to train classification models. It…

Mar 7, 2023

What You Need to Know about Sparse Categorical Cross Entropy

Mar 7, 2023

Moklesur Rahman

Reasons to Choose Focal Loss over Cross-Entropy

Focal Loss is a revolutionary loss function designed for deep learning applications that encounter binary classification problems, where…

Mar 22, 2023

Reasons to Choose Focal Loss over Cross-Entropy

Mar 22, 2023

Moklesur Rahman

Monte Carlo Dropout for Uncertainty Estimation in Deep Learning Model

Monte Carlo Dropout is an advanced neural network method that leverages dropout regularization to produce more reliable predictions and…

Mar 22, 2023

Monte Carlo Dropout for Uncertainty Estimation in Deep Learning Model

Mar 22, 2023

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Moklesur Rahman

The Lottery Ticket Hypothesis: Can You Find Winning Ticket Neurons?

Neural networks have shown remarkable success in various domains, ranging from image classification to natural language processing. Despite…

Mar 22, 2023

The Lottery Ticket Hypothesis: Can You Find Winning Ticket Neurons?

Mar 22, 2023

Moklesur Rahman

TensorFlow Model Optimization Toolkit-Quantization

TensorFlow Model Optimization Toolkit (TF MOT) is a set of tools designed to optimize and compress TensorFlow models. One of the most…

Mar 22, 2023

TensorFlow Model Optimization Toolkit-Quantization

Mar 22, 2023

Moklesur Rahman
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