Question

For any two layers with the same number of neurons an ann will have fewer parameters than a cnn

Answer 1

 conventional-neural-networks is a subclass of neural-networks which have at least one convolution layer. They are great for capturing local information (eg neighbor pixels in an image or surrounding words in a text) as well as reducing the complexity of the model (faster training, needs fewer samples, reduces the chance of overfitting).

I hope help you

Answer 2

Answer:

The Number of Neurons in the Hidden Layers ♥

♡The number of hidden neurons should be between the size of the input layer and the size of the output layer.

The number of hidden neurons should be 2/3 the size of the input layer, plus the size of the output layer.♡