How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part3)

Hi,

This is the third part of 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 differently.

I recommend This graphics card: NVIDIA GeForce RTX 3060 Ti . I am using it to train my Tensorflow models. Get perfect results and performance: https://amzn.to/3mTa7HX

This is the link for part 3: https://bit.ly/3BLpJEu

I shared the Python code in the video description.

Enjoy

Eran

#Python #Cnn #TensorFlow #Deeplearning