Apr
24
4:30pm
Deep Learning Master Class V - Advance RNNs, LSTMs, and GRUs
By IBM Developer
This series takes engineers from zero to expert in machine learning in 5 sessions. The world needs more people who understand machine learning, and our goal is to get you started on that path as efficiently as possible. While there are plenty of online resources, we know it's tough to learn a technical topic without a teacher. This workshop will arm you with the tools to get started using machine learning in your day job, and the resources to find additional help if you want to go deeper.
Part 5 - Advance RNNs, LSTMs, and GRUs
This class is part five in our AI series. After an introduction to RNNs, LSTMs and GRUs in the previous session, we are ready to dive into the details and look at some advance applications of these networks. We will discuss the following frameworks, architectures and applications in this session.
Deep Learning Frameworks
- Keras
- Tensorflow
- Numpy/Python
Deep Learning Architectures
- LSTM/GRU Classifiers
- CNN/LSTM hybrid
- Sequence to Sequence models
Applications
- Handwriting classification using attention models
- Statistical machine translation
- Introduction to the transformer architecture
You can watch the previous sessions here:
1. Deep Learning Master Class I - Introduction
https://www.crowdcast.io/e/deep-learning-master
2. Deep Learning Master Class II - Computer Vision
https://www.crowdcast.io/e/deep-learning-master-2
3. Deep Learning Master Class III - Model Performance, Quantization, & Hyperparameter Search
https://www.crowdcast.io/e/dl-master-class-iii--
4. Deep Learning Master Class IV - Into to RNNs, LSTMs, and GRUs
https://www.crowdcast.io/e/deep-learning-master-3
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