from IPython.display import HTML
from tensorflow.keras.layers import Dense
layer = Dense(units=60)
from tensorflow.keras.layers import Dense
Dense(units=60, activation='relu')
from tensorflow.keras.layers import Dense
Dense(units=10, activation='softmax')
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense, Flatten
from tensorflow.keras.models import Sequential
model = Sequential([
Dense(200, activation='softmax'),
Dense(10, activation='softmax'),
])
from tensorflow import keras
from tensorflow.keras.optimizers import SGD
optimizer = SGD(learning_rate = 0.01)
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense
model = Sequential()
model.add(Dense(units=200, activation='relu', input_shape=(5,)))
model.add(Dense(units=100, activation='relu'))
model.add(Dense(units=10, activation='softmax'))
model.compile( loss='categorical_crossentropy',
optimizer='sgd',
metrics=['accuracy'])