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Focus on deep learning frameworks incl. Keras, Tensorflow & Numpy/PythonDeep Learning Architectures.
Friday, March 27, 2020 at 12:30 PM   Absolutely Free

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This series takes engineers from zero to expert in machine learning in 5 sessions. The world needs more people who understand machine learning, & 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, & the resources to find additional help if you want to go deeper.

Part 5 - Advance RNNs, LSTMs, & GRUs
This class is part five in our AI series. After an introduction to RNNs, LSTMs & GRUs in the previous session, we are ready to dive into the details & look at some advance applications of these networks. We will discuss the following frameworks, architectures & applications in this session.

Deep Learning Frameworks
1. Keras
2. Tensorflow
3. Numpy/PythonDeep Learning Architectures

1. LSTM/GRU Classifiers
2. CNN/LSTM hybrid
3. Sequence to Sequence models

1. Handwriting classification using attention models
2. Statistical machine translation
3. Introduction to the transformer architecture

You can watch the previous sessions here:

1. Deep Learning Master Class I - Introduction

2. Deep Learning Master Class II - Computer Vision

3. Deep Learning Master Class III - Model Performance, Quantization, & Hyperparameter Search

4. Deep Learning Master Class IV - Into to RNNs, LSTMs, & GRUs

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