Feb
13
5:30pm
DL Master Class III - Model Performance, Quantization, & Hyperparameter Search
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 3 - Model Performance, Quantization, & Hyperparameter Search
This class is part three in our AI series. We've designed it as a follow up to Introduction to Deep learning Part 2 Vision Algorithms, but might also be appropriate for someone who took the Coursera course in machine learning but wanted something more hands-on or who took Technical Introduction to AI, Machine Learning & Deep Learning Part I and wanted to really focus on time series and text.
We will discuss the following frameworks and applications:
Deep Learning Frameworks
- Keras
- Tensorflow
- Numpy/Python
Deep Learning Architectures
- LSTM/GRU Classifiers
- CNN/LSTM hybrid
- Sequence to Sequence models
Applications
- Model Time Series aviation data with RNNs
- Classify Text with LSTM/GRU
- Generate Text with LSTM
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
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IBM Developer
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