I have a python assignmnet
Budget: $8 – $15 CAD
Please, make a from-scratch model to learn the cifar100 images and predict the images with accuracy rate of better than 99%.
More explanation:
To download mnist data, we used this code:
(x_train, y_train),(x_test, y_test)= tf.keras.datasets.mnist.load_data()
You can use this code to download the cifar100 data:
(x_train, y_train),(x_test, y_test)= tf.keras.datasets.cifar100.load_data()
Run the code, and make sure you make a model with a high accuracy rate.
More explanation:
To download mnist data, we used this code:
(x_train, y_train),(x_test, y_test)= tf.keras.datasets.mnist.load_data()
You can use this code to download the cifar100 data:
(x_train, y_train),(x_test, y_test)= tf.keras.datasets.cifar100.load_data()
Run the code, and make sure you make a model with a high accuracy rate.