- How do convolutional neural networks train?
- Why does a neural network have different answers each time you run it?
- Why convolution neural network is taking off quickly in recent times?
How do convolutional neural networks train?
During the training of CNN, the neural network is being fed with a large dataset of images being labelled with their corresponding class labels (cat, dog, horse, etc.). The CNN network processes each image with its values being assigned randomly and then make comparisons with the class label of the input image.
Why does a neural network have different answers each time you run it?
You will get different results when you run the same algorithm on different data. This is referred to as the variance of the machine learning algorithm.
Why convolution neural network is taking off quickly in recent times?
1. Access to large amount of digitaized data. 2. Itegration of feature extraction with in the training process.