Hi,
This is the third part of four parts Tensorflow tutorial that enables you to classify monkey’s species images using several methods.
So , how can we decide how many layers should we define ? how many filters in each convolutional layer ?
Should we use Dropout layer ? and what should be its value ?
Which learning rate value is better ? and more similar questions.
Keras tuner is the solution for looking those parameters , which called hyper...
How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , a