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Langboat Technology provides learning guidance for developers who want to get started with NLP technology

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Introductory NLP Fundamentals Course

Preface

Python Programming

Programming Related Tools

Mathematical Basis

Data Processing and Analysis Fundamentals

Machine Learning Fundamentals

Deep Learning Fundamentals

Basics of Natural Language Processing NLP Advanced Course

NLP Advanced Course

Deep Learning Basics#

This part covers the advanced part of machine learning - the basics of deep learning. Please be familiar with the use of the deep learning library Pytorch, and understand the key principles and models of deep learning. Pay particular attention to the following highlights in Deep Learning Fundamentals:

  • Feedforward Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Encoder, Decoder, Attention
  • Regularization
  • Optimizers

If you have never used Pytorch#

Please refer to the following tutorials:

When learning deep learning knowledge, we recommend that you adopt code-first and learn through practical code#

Please refer to the following tutorials:

If you have ever been exposed to deep learning#

Please refer to the following links to review important knowledge points:

If you want to add more theoretical knowledge of deep learning#

Please refer to the following tutorials:

If you need more advice on training neural networks#

Please refer to:

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Business Cooperation Email

bd@langboat.com

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Address

Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.


© 2023, Langboat Co., Limited. All rights reserved.


Large Model Registration Code:Beijing-MengZiGPT-20231205


Business Cooperation:

bd@langboat.com

Address:

Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.

Official Accounts:

ewm

© 2023, Langboat Co., Limited. All rights reserved.

Large Model Registration Code:Beijing-MengZiGPT-20231205

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