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Artificial Intelligence
67 posts
Dive into the world of Artificial Intelligence and Neural Networks with our comprehensive learning resources. From understanding the fundamentals to building complex models, our tutorials and hands-on examples will guide you every step of the way.
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…
Underfitting in Neural Networks: A Complete Guide from Beginner to Advanced
When I first started training neural networks, I assumed that more training always meant a better model. Then…
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…
Overfitting in Neural Networks: What It Is and Why It Happens
If underfitting is a model that hasn’t learned enough, overfitting is the opposite extreme: a model that has…
How Learning Rate Affects the Training of a Neural Network
If I had to pick the single hyperparameter that most dramatically affects whether a neural network trains successfully…
What Are Hyperparameters in the Context of Neural Networks?
Early on in my deep learning journey, I confused “parameters” and “hyperparameters” more times than I’d like to…
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…
Weight Initialization in Neural Networks: Concepts, Math, and Practice
Introduction It’s easy to overlook weight initialization as a mere technical formality — after all, the network is…
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 —…
Training and Optimization in Neural Networks: A Complete Guide
Training a neural network is a bit like teaching someone to shoot free throws by only giving them…