1. Keras for Beginners: Building Your First Neural Network
| UPDATED
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Keras is a simple-to-use but powerful deep learning library for Python. This 3-post series, written for beginners, provides a simple way for anyone to get started solving real machine learning problems. We’ll start with an introduction to classic Neural Networks for complete beginners before delving into two popular variants: Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs).
For each of each these types of networks, we’ll:
At the end of each post, you’ll have the full code to accomplish everything listed above.
This series requires ZERO prior experience with Keras or Tensorflow. However, background in the following topics may be helpful:
Without further ado:
| UPDATED
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
| UPDATED
A beginner-friendly guide on using Keras to implement a simple Convolutional Neural Network (CNN) in Python.
A beginner-friendly guide on using Keras to implement a simple Recurrent Neural Network (RNN) in Python.
Still eager to learn? Some more things you can do include:
I often write about Machine Learning, so subscribe to my newsletter if you want to get notified of new content.
Thanks for reading!
I write about ML, Web Dev, and more topics. Subscribe to get new posts by email!
This blog is open-source on Github.