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All LessonsFree Lessons (7)

What you'll learn from this course

Word Embeddings

Embedding Matrix

Candidate Sampling

Cosine Similarity

K-Nearest Neighbors

Language Model

Multiple Layers

Calculating Loss

Tensor Indexing

Text Classification

Introduction Sentiment Analysis Embeddings Bidirectional LSTM Logits Loss Classification Improving the Model Quiz

Seq2Seq Model

Introduction Training Data Final States Combined State Encoder-Decoder Attention Training Sampler Decoder Object Decoding Output Calculating Loss Inference Decoding Model Improvement Datasets Quiz Course Conclusion

Fundamentals of NLP

Natural Language Processing with Machine Learning/

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Quiz

Quiz

We'll cover the following...

Technical Quiz

1.

What is the difference between RNN and LSTM cells?

A.

The LSTM cell has a gated cell state for retaining information

B.

RNN cells utilize the ReLU activation function instead of tanh

C.

The LSTM cell has 2 internal layers, while the RNN cell has 3

D.

The RNN cell is a more complex version of the LSTM cell

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