Browsing Tag
neural network
57 posts
What Is the Concept of a State-Value Function in Reinforcement Learning?
When I first started learning reinforcement learning (RL), one idea kept showing up everywhere before I even understood…
How Is Q-Learning Used in Reinforcement Learning?
If you’ve spent any time reading about reinforcement learning, you’ve probably run into Q-learning within the first ten…
What Is the Concept of Exploration vs. Exploitation in Reinforcement Learning?
Imagine you just moved to a new city and you’re looking for the best coffee shop nearby. Do…
What Is the Difference Between a Pre-Trained Model and a Fine-Tuned Model in NLP?
Almost every modern NLP application you interact with today — chatbots, search engines, translation tools, content moderation systems…
What Is a Word Embedding in NLP and Why Is It Important?
One of the first hurdles anyone runs into when working with natural language processing is a deceptively simple…
How Is Natural Language Processing (NLP) Related to Neural Networks?
For a long time, natural language processing (NLP) and neural networks developed somewhat independently — NLP relied heavily…
What is a GAN (Generative Adversarial Network) and How Does It Work
I still remember the first time I saw a GAN-generated face and genuinely couldn’t tell it wasn’t real.…
How Can You Visualize the Weights and Activations in a Neural Network
For a long time, I treated neural networks as black boxes — I’d feed data in, watch the…
What Is the Bias-Variance Tradeoff in Neural Networks
Early in my journey with machine learning, I built a model that scored nearly perfect accuracy on training…
What Is the Receiver Operating Characteristic (ROC) Curve Used For
I used to rely almost entirely on accuracy when evaluating classification models, until I built a fraud detection…