Active state code #337

Machine learning is teaching a computer to find patterns in data instead of writing every rule by hand. Today covers the ideas that appear in almost every AI interview: what AI is, how machines learn, how we prepare data, why models fail, and the core algorithms.

#335 model=models.Sequential([
tf.keras.Input(shape=(256, 256, 3)),
resize_rescale,
data_augumentation,
layers.Conv2D(32,(3,3),activation='relu',padding='same',input_shape=(32,256,256,3)),
layers.MaxPooling2D(pool_size=(2,2)),
layers.Conv2D(64,kernel_size=(3,3),padding='same',activation='relu'),
layers.MaxPooling2D(pool_size=(2,2)),
layers.Conv2D(64,kernel_size=(3,3),padding='same',activation='relu'),
layers.MaxPooling2D(pool_size=(2,2)),
layers.Conv2D(64,kernel_size=(3,3),padding='same',activation='relu'),
layers.MaxPooling2D(pool_size=(2,2)),
layers.Flatten(),
layers.Dense(64,activation='relu'),
layers.Dense(no_classes,activation='softmax')
])