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Mr. MacKenty (talk | contribs) (Created page with "right|frame|Case study notes<ref>http://www.flaticon.com/</ref> * Backpropagation through time (BPTT) * Bag-of-words * Biases * Confirmation * Historical * Labelling * Linguistic * Sampling * Selection * Dataset * Deep learning * Graphical processing unit (GPU) * Hyperparameter tuning * Large language model (LLM) * Latency * Long short-term memory (LSTM) * Loss function * Memory...") |
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[[file:Studying.png|right|frame|Case study notes<ref>http://www.flaticon.com/</ref>]] | [[file:Studying.png|right|frame|Case study notes<ref>http://www.flaticon.com/</ref>]] | ||
'''Learn this first, in this order:''' | |||
* [[Neural networks]] | |||
* [[Recurrent neural network (RNN)]] | |||
* [[Large language model (LLM)]] | |||
* [[Hyperparameter tuning]] | |||
* [[Backpropagation through time (BPTT)]] | * [[Backpropagation through time (BPTT)]] | ||
* [[Deep learning]] | |||
* [[Transformer neural network (transformer NN)]] | |||
'''Then this:''' | |||
* [[Biases]] | |||
** [[Confirmation]] | |||
** [[Historical]] | |||
** [[Labelling]] | |||
** [[Linguistic]] | |||
** [[Sampling]] | |||
** [[Selection]] | |||
* [[Bag-of-words]] | * [[Bag-of-words]] | ||
* [[Dataset]] | * [[Dataset]] | ||
* [[Graphical processing unit (GPU)]] | * [[Graphical processing unit (GPU)]] | ||
* [[Latency]] | * [[Latency]] | ||
* [[Long short-term memory (LSTM)]] | * [[Long short-term memory (LSTM)]] | ||
| Line 24: | Line 34: | ||
* [[Pragmatic analysis]] | * [[Pragmatic analysis]] | ||
* [[Semantic analysis]] | * [[Semantic analysis]] | ||
* Syntactical analysis (parsing) | * [[Syntactical analysis (parsing)]] | ||
* Natural language understanding (NLU) | * [[Natural language understanding (NLU)]] | ||
* Pre-processing | * [[Pre-processing]] | ||
* | * [[Self-attention mechanism]] | ||
* [[Synthetic data]] | |||
* Synthetic data | * [[Tensor processing unit (TPU)]] | ||
* Tensor processing unit (TPU) | * [[Vanishing gradient]] | ||
* | * [[Weights]] | ||
* Weights | |||
Latest revision as of 08:12, 4 October 2024
Case study notes[1]
Learn this first, in this order:
- Neural networks
- Recurrent neural network (RNN)
- Large language model (LLM)
- Hyperparameter tuning
- Backpropagation through time (BPTT)
- Deep learning
- Transformer neural network (transformer NN)
Then this:
- Bag-of-words
- Dataset
- Graphical processing unit (GPU)
- Latency
- Long short-term memory (LSTM)
- Loss function
- Memory cell state
- Natural language processing
- Discourse integration
- Lexical analysis
- Pragmatic analysis
- Semantic analysis
- Syntactical analysis (parsing)
- Natural language understanding (NLU)
- Pre-processing
- Self-attention mechanism
- Synthetic data
- Tensor processing unit (TPU)
- Vanishing gradient
- Weights