Neural Networks
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Neural Networks are a class of Machine Learning models that were inspired by the human brain. They've exploded in popularity recently due to their effectiveness at attacking problems in a variety of subfields, like Computer Vision and Natural Language Processing.
If you're new to Neural Networks, I recommend reading my Neural Networks From Scratch Series first.
Keras for Beginners
A beginner-friendly series on using Keras to build, train, and evaluate Neural Networks in Python.
View SeriesKeras for Beginners: Implementing a Recurrent Neural Network
A beginner-friendly guide on using Keras to implement a simple Recurrent Neural Network (RNN) in Python.
ReadEasy Visual Question Answering
Co-Authored by Phillip Wang
A gentle introduction to Visual Question Answering (VQA) using neural networks.
ReadKeras for Beginners: Implementing a Convolutional Neural Network
A beginner-friendly guide on using Keras to implement a simple Convolutional Neural Network (CNN) in Python.
ReadNeural Networks From Scratch
A 4-post series that provides a fundamentals-oriented approach towards understanding Neural Networks.
View SeriesAn Introduction to Recurrent Neural Networks for Beginners
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
ReadA Simple Explanation of the Softmax Function
What Softmax is, how it's used, and how to implement it in Python.
ReadKeras for Beginners: Building Your First Neural Network
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Read