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learn about different libraries for implementing neural nets
review example notebooks for the data preparation and training of neural net using Pandas and TensorFlow
get to know additional types of layers in neural nets
Additional (12 Minuten) on neural nets
for a neural net
for training a neural net
watch (7 minutes) to better understand the properties of dropout layers.
watch (5 minutes) to better understand the benefits of normalization.
complete the first chapter of on DataCamp to learn about identifying missing values.
prepare your dataset by correctly encoding all categorical features and removing all rows with missing values.
train a first neural network for your dataset.