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Introduction to Deep Learning with Keras

Miguel Esteban

Data Scientist & Founder

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Introduction to Deep Learning with Keras

You've learned a lot

Introduction to Deep Learning with Keras

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.
Introduction to Deep Learning with Keras

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
Introduction to Deep Learning with Keras

Introduction to Deep Learning with Keras

Have a good one!

Introduction to Deep Learning with Keras

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