Deep Learning Essentials ★★★ Expert Level
Challenge yourself with our two-day Deep Learning Essentials course and work alongside our top scientists to learn and apply the most effective and sought after machine learning techniques.
supervised Machine Learning
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Deep Learning Essentials
- General principles and setup of a deep learning algorithm
- Convolutional and recurrent neural networks
- To build a neural network in Tensorflow and Keras
- Interpreting the results of your neural network
- Theory behind deep learning – Understand an explain how a neural network works
- Use cases of deep learning – Know when to apply which neural networks in use cases
- Build a simple neural network – Skilled at building a neural network using Keras
- Tuning a neural network – Increase model performance through accuracy and model performance
- Interpretability of neural networks – Confident at interpreting and explaining the neural networks behavior