Browsing Tag
deep learning
10 posts
How Do You Handle Imbalanced Datasets in Deep Learning?
Every time I’ve worked on a fraud detection, medical diagnosis, or rare-event prediction project, I’ve run into the…
What Is the Purpose of Cross-Validation in Machine Learning and Deep Learning
I’ve lost count of how many times I’ve seen a model perform beautifully during development, only to underperform…
What Is a Deep Learning Model’s Capacity, and Why Is It Important?
When I was first exploring deep learning, I kept running into the same frustrating pattern: sometimes my model…
What Is the Difference Between a Loss Function and an Optimization Algorithm in Deep Learning?
I remember spending an embarrassingly long time early in my deep learning journey conflating these two concepts. I’d…
How Overfitting Can Be Prevented or Mitigated in Deep Learning Models
Every deep learning practitioner eventually runs into the same frustrating pattern: training loss keeps dropping, training accuracy climbs…
Transfer Learning: What It Is and How It’s Useful in Deep Learning
One of the most practically important ideas I’ve come across in deep learning is transfer learning — the…
The Purpose of Batch Normalization in Deep Learning
Introduction Somewhere around 2015, batch normalization quietly became one of the most impactful techniques in deep learning —…
What Are Some of the Most Popular Deep Learning Frameworks?
Picking a deep learning framework can feel like choosing your first programming language all over again — everyone…
What Is the Difference Between Deep Learning and Machine Learning?
“Deep learning” and “machine learning” get used almost interchangeably in casual conversation, and that’s a genuine source of…
What Is Deep Learning? A Complete Guide from Beginner to Advanced
Deep learning has quietly rewired the way software understands the world. It sits behind the voice assistant that…