Silly Typo😁

TypeError: __init__() takes from 1 to 3 positional arguments but 10 were given

The "TypeError" above is really a "TYPE" error (means TYPING , not data type😆😆)

I actually forgot to put a square brackets for array inside model.Sequential.

model = tf.keras.models.Sequential(

    tf.keras.layers.Conv2D(16, 3, activation = "relu" , input_shape = (180,180,3)), 

    tf.keras.layers.MaxPooling2D(),

    tf.keras.layers.Conv2D(32, 3, activation = "relu"), 

    tf.keras.layers.MaxPooling2D(),

    tf.keras.layers.Conv2D(64, 3, activation = "relu"), 

    tf.keras.layers.MaxPooling2D(),        

    tf.keras.layers.Flatten(), 

    tf.keras.layers.Dense(512, activation = "relu"),

    tf.keras.layers.Dense(5, activation = "softmax")

)

They all look like parameters rather than array of layers, isn't it ?

Below is the correct code:

model = tf.keras.models.Sequential([

    tf.keras.layers.Conv2D(16, 3, activation = "relu" , input_shape = (180,180,3)), 

    tf.keras.layers.MaxPooling2D(),

    tf.keras.layers.Conv2D(32, 3, activation = "relu"), 

    tf.keras.layers.MaxPooling2D(),

    tf.keras.layers.Conv2D(64, 3, activation = "relu"), 

    tf.keras.layers.MaxPooling2D(),        

    tf.keras.layers.Flatten(), 

    tf.keras.layers.Dense(512, activation = "relu"),

    tf.keras.layers.Dense(5, activation = "softmax")

])

The compiler does some pun when it says Type Error, I think😉