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Các phương pháp Optimization - Gradient Descent
Algorithm Optimization Các phương pháp Optimization - Gradient Descent
By SuNT 16 November 2020

“Nearly all of deep learning is powered by one very important algorithm: Stochastic Gradient Descent (SGD)” – Goodfellow et al.

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- An AI engineer having the 5-year experience and about 4 years working as an Network Protocol Development engineer. I have also taken on the role of project manager and team leader for more than 3 years.

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Categories
  • Algorithm Optimization
  • Attention
  • Audio Classification
  • Autoencoder
  • BERT
  • CNN
  • CTC
  • Data Driff
  • Data Imbalance
  • Data Preparation
  • Data Science
  • Deep Learning
  • Docker
  • Ebook
  • EDA
  • Ensemble Learning
  • Face Recognition
  • Game
  • Human action recognition
  • Human pose
  • Image Classification
  • Kubernetes
  • LSTM
  • Machine Learning
  • MLOps
  • Neural Network
  • NLP
  • Object Detection
  • OCR
  • One Shot Learning
  • Project Management
  • Recommender System
  • RNN
  • Scalability
  • Siamese Network
  • Speech Recognition
  • Speech To Text
  • Text Classification
  • Text Detection
  • Text Generation
  • Text Recognition
  • Time Series
  • Transformer
  • XGBoost
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