13
Jan
12
Nov
Where to Get Data for Machine Learning and Deep Learning Model Creation – day 8
Where to Get Data for Machine Learning and Deep Learning Model Creation
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05
Nov
Fine-Tuning in Deep Learning with a practical example – day 6
Understanding Fine-Tuning in Deep Learning
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15
Oct
Mastering NLP: Unlocking the Math Behind It for Breakthrough Insights with a scientific paper study – day 71
What is NLP and the Math Behind It? Understanding Transformers and Deep Learning in NLP
Introduction to NLP
Natural Language Processing...
26
Sep
Understanding Recurrent Neural Networks (RNNs) – part 2 – Day 56
Understanding Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs) are a class of neural networks that excel in handling s...
18
Sep
Deep Learning Models integration for iOS Apps – briefly explained – Day 52
Key Deep Learning Models for iOS Apps
Natural Language Processing (NLP) ModelsNLP models enable apps to understand and generate human-l...
13
Sep
DropOut and Monte Carlo Dropout (MC Dropout)- Day 48
Understanding Dropout in Neural Networks
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12
Sep
Understanding Regularization in Deep Learning – Day 47
Understanding Regularization in Deep Learning – A Mathematical and Practical Approach
Introduction
One of the most compelling challenge...
10
Sep
Learning Rate – 1-Cycle Scheduling, exponential decay and Cyclic Exponential Decay (CED) – Part 4 – Day 45
Advanced Learning Rate Scheduling Methods for Machine Learning:
Learning rate scheduling is critical in optimizing machine learning mod...
08
Sep
Theory Behind 1Cycle Learning Rate Scheduling & Learning Rate Schedules – Day 43
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