You're done!
Introduction to Deep Learning with Keras
Miguel Esteban
Data Scientist & Founder
Congratulations!
You've learned a lot
What you've learned
The basics of neural networks
Building sequential models
Building models for regression
Approaching binary classification, multi-class and multi-label problems with neural networks
Activation functions
Hyperparameter tuning
Autoencoders
De-noising images
CNN concepts
Use pre-trained models
Visualize convolutions
LSTMs concepts
Work with embedding layers and text
All of this by using many different datasets and learning plenty of Keras's utility functions.
What could you learn next?
Go deeper into CNNs
Go deeper into LSTMs
Keras Functional API
Models that share layers, models with several branches
GANs: Generative Adversarial Networks
Deeplearning projects
Have a good one!
Introduction to Deep Learning with Keras
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