吴恩达《序列化模型》课程总结

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Note

This is my personal summary after studying the course, nlp sequence models, which belongs to Deep Learning Specialization. and the copyright belongs to deeplearning.ai.

My personal note

1st  week: Building a Recurrent Neural Network Step by Step
01_why-sequence-models
02_notation
03_recurrent-neural-network-model
04_backpropagation-through-time
05_different-types-of-rnns
06_language-model-and-sequence-generation
07_sampling-novel-sequences
08_vanishing-gradients-with-rnns
09_gated-recurrent-unit-gru
10_long-short-term-memory-lstm
11_bidirectional-rnn
12_deep-rnns

2nd  week : natural language processing word embeddings

• 01_introduction-to-word-embeddings
  • 01_word-representation
  • 02_using-word-embeddings
  • 03_properties-of-word-embeddings
  • 04_embedding-matrix
• 02_learning-word-embeddings-word2vec-glove
  • 01_learning-word-embeddings
  • 02_word2vec
  • 03_negative-sampling
  • 04_glove-word-vectors
• 03_applications-using-word-embeddings
  • 01_sentiment-classification
  • 02_debiasing-word-embeddings

3rd  week: sequence models attention mechanism

• 01_various-sequence-to-sequence-architectures
  • 01_basic-models
  • 02_picking-the-most-likely-sentence
  • 03_beam-search
  • 04_refinements-to-beam-search
  • 05_error-analysis-in-beam-search
  • 06_bleu-score-optional
  • 07_attention-model-intuition
  • 08_attention-model
• 02_speech-recognition-audio-data
  • 01_speech-recognition
  • 02_trigger-word-detection

conclusion of Deep Learning Specialization and thank-you

My personal programming assignments

1st  week:

1. Building a Recurrent Neural Network Step by Step
2. Dinosaurus Island Character level language model final
3. Improvise a Jazz Solo with an LSTM Network

2nd  week:

1. Word Vector Representation
2. Emojify

3rd  week:

1. machine translation
2. Trigger word