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 parameters. Now we will dive into the keras tuner. We will take the model from our previous lesson , and improve it. In the next, forth video, will you a learn how to use transfer learning to classify the images in a different way. I shared the Python code in the video description. Enjoy Eran #Python #Cnn #TensorFlow
