Introduction to Deep Learning with Keras
Miguel Esteban
Data Scientist & Founder
# Instantiate a sequential model # ...
# Add an input and hidden layer # ...
# Add more hidden layers # ...
# Add your output layer model.add(Dense(4, activation='softmax')
model.compile(optimizer='adam', loss='categorical_crossentropy')
import pandas as pd from tensorflow.keras.utils import to_categorical # Load dataset df = pd.read_csv('data.csv')
# Turn response variable into labeled codes df.response = pd.Categorical(df.response) df.response = df.response.cat.codes
# Turn response variable into one-hot response vector y = to_categorical(df.response)
Introduction to Deep Learning with Keras