SpringerNLP

Case Studies for "Deep Learning for NLP and Speech Recognition" published by Springer

Pinned Repositories

Chapter10
Chapter 10: Multi-task Learning
Language:Python7 3 43
Chapter11
Chapter 11: Transfer Learning/Domain Adaptation
Language:Jupyter Notebook18 2 05
Chapter12
Chapter 12: End-to-end Speech Recognition
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Chapter13
Chapter 13: Deep Reinforcement Learning for Text and Speech
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Chapter3
Chapter 3: Text and Speech Basics
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Chapter4
Chapter 4: Basics of Deep Learning
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Chapter5
Chapter 5: Embeddings
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Chapter6
Chapter 6: Convolutional Neural Networks
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Chapter8
Chapter 8: Automatic Speech Recognition
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Chapter9
Chapter 9: Attention and Memory Augmented Networks
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SpringerNLP/Chapter11
Chapter 11: Transfer Learning/Domain Adaptation
Language:Jupyter Notebook18 2 05
SpringerNLP/Chapter3
Chapter 3: Text and Speech Basics
Language:Jupyter Notebook13 2 06
SpringerNLP/Chapter9
Chapter 9: Attention and Memory Augmented Networks
Language:Jupyter Notebook13 3 04
SpringerNLP/Chapter8
Chapter 8: Automatic Speech Recognition
Language:Jupyter Notebook12 3 05
SpringerNLP/Chapter13
Chapter 13: Deep Reinforcement Learning for Text and Speech
Language:Jupyter Notebook10 2 05
SpringerNLP/Chapter4
Chapter 4: Basics of Deep Learning
Language:Jupyter Notebook10 2 05
SpringerNLP/Chapter12
Chapter 12: End-to-end Speech Recognition
Language:Jupyter Notebook9 2 05
SpringerNLP/Chapter5
Chapter 5: Embeddings
Language:Jupyter Notebook9 2 04
SpringerNLP/Chapter6
Chapter 6: Convolutional Neural Networks
Language:Jupyter Notebook9 2 05
SpringerNLP/Chapter10
Chapter 10: Multi-task Learning
Language:Python7 3 43
SpringerNLP/Chapter7
Chapter 7: Recurrent Neural Networks
Language:Python7 3 16
SpringerNLP/Chapter2
Chapter 2: Machine Learning Basics
Language:Jupyter Notebook6 3 19