This post deals with popularity of neural networks over years. The following graphics
presents the number of entries in Google Scholar for *Neural networks* and *Deep learning*:

Deep learning becomes more popular while neural networks exhibits a downward slope.

In many books or blogs, you'll read that neural networks have known a golden age in the 60's and a dark age (AI winter) in the 1970. Not so sure according the the constantly increasing number of research papers published in during these decades:

- Neural networks curve fitting
- Datasets for deep learning
- Gradient descent example
- Install TensorFlow and Keras for Linux
- Learning rule demonstration
- Linear regression example
- Most popular activation functions for deep learning
- Most relevant deep learning research papers
- Neural Network Perceptron
- Simplest neural network with TensorFlow
- Simplest perceptron
- Single layer training algorithm
- Single layer classification example
- Gradient descent for neural networks
- Single layer limitations
- Neural networks

Last update : 12/22/2021