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دسته بندی دوره ها

Deep Learning: NLP for Sentiment analysis & Translation 2023

سرفصل های دوره

Master and Deploy Sentiment analysis and machine translation solutions with Tensorflow and Hugggingface Transformers


1 - Introduction
  • 1 - Welcome
  • 2 - General intro

  • 2 - Tensors and variables
  • 3 - Basics
  • 4 - Initialization and Casting
  • 5 - Indexing
  • 6 - Maths Operations
  • 7 - Linear algebra operations
  • 8 - Common methods
  • 9 - Ragged tensors
  • 10 - Sparse tensors
  • 11 - String tensors
  • 12 - Variables

  • 3 - PREREQUISCITE Building neural networks with tensorflow
  • 13 - Task understanding
  • 14 - Data preparation
  • 15 - Linear regression model
  • 16 - Error sanctioning
  • 17 - Training and optimization
  • 18 - Performance measurement
  • 19 - Validation and testing
  • 20 - Corrective measures

  • 4 - Text Preprocessing for Sentiment Analysis
  • 21 - Understanding Sentiment Analysis
  • 22 - Text Standardization
  • 23 - Tokenization
  • 24 - Onehot encoding and Bag of Words
  • 25 - Term frequency Inverse Document frequency TFIDF
  • 26 - Embeddings

  • 5 - Sentiment Analysis with Recurrent neural networks
  • 27 - How Recurrent neural networks work
  • 28 - Data preparation
  • 29 - Building and training RNNs
  • 30 - Advanced RNNs LSTM and GRU
  • 31 - 1D Convolutional Neural Network

  • 6 - Sentiment Analysis with transfer learning
  • 32 - Understanding Word2vec
  • 33 - Integrating pretrained Word2vec embeddings
  • 34 - Testing
  • 35 - Visualizing embeddings

  • 7 - Neural Machine Translation with Recurrent Neural Networks
  • 36 - Understanding Machine Translation
  • 37 - Data Preparation
  • 38 - Building training and testing Model
  • 39 - Understanding BLEU score
  • 40 - Coding BLEU score from scratch

  • 8 - Neural Machine Translation with Attention
  • 41 - Understanding Bahdanau Attention
  • 42 - Building training and testing Bahdanau Attention

  • 9 - Neural Machine Translation with Transformers
  • 43 - Understanding Transformer Networks
  • 44 - Building training and testing Transformers
  • 45 - Building Transformers with Custom Attention Layer
  • 46 - Visualizing Attention scores

  • 10 - Sentiment Analysis with Transformers
  • 47 - Sentiment analysis with Transformer encoder
  • 48 - Sentiment analysis with LSH Attention

  • 11 - Transfer Learning and Generalized Language Models
  • 49 - Understanding Transfer Learning
  • 50 - Ulmfit
  • 51 - Gpt
  • 52 - Bert
  • 53 - Albert
  • 54 - Gpt2
  • 55 - Roberta
  • 56 - T5

  • 12 - Sentiment Analysis with Deberta in Huggingface transformers
  • 57 - Data Preparation
  • 58 - Buildingtraining and testing model

  • 13 - Neural Machine Translation with T5 in Huggingface transformers
  • 59 - Dataset Preparation
  • 60 - Buildingtraining and testing model
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    تاریخ انتشار: ۱۰ فروردین ۱۴۰۲
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