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Intro
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Classroom Contents
Efficient Distributed Deep Learning Using MXNet
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- 1 Intro
- 2 PRACTICAL CONSIDERATIONS FOR MACHINE LEARNING
- 3 CHALLENGES IN DEPLOYING LARGE-SCALE LEARNING
- 4 DECLARATIVE PROGRAMMING
- 5 MXNET: MIXED PROGRAMMING PARADIGM
- 6 WRITING PARALLEL PROGRAMS IS HARD
- 7 HIERARCHICAL PARAMETER SERVER IN MXNET
- 8 TENSORS, DEEP LEARNING & MXNET
- 9 TENSOR CONTRACTION AS A LAYER
- 10 Introducing Amazon Al
- 11 Rekognition: Object & Scene Detection
- 12 Rekognition: Facial Analysis
- 13 Polly: A Focus On Voice Quality & Pronunciation
