Week 8 - Neural Nets

This week we will...

• 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

Learning Resources

3MB

251211_Neural Nets.pdf

PDF

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• Additional introduction video (12 Minuten) on neural nets

• Example data preparation notebook for a neural net

• Example notebook for training a neural net

Until next week you should...

• watch this video (7 minutes) to better understand the properties of dropout layers.

• watch this video (5 minutes) to better understand the benefits of normalization.

• complete the first chapter of this course on DataCamp to learn about identifying missing values.

• examine all your model variables for the existence of missing and implausible 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.