Fundamentals of NLP - Natural Language Processing with Machine Learning

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All LessonsFree Lessons (7)

What you'll learn from this course

Word Embeddings

Introduction Vocabulary Embeddings Skip-gram Embedding Matrix Candidate Sampling Embedding Loss Cosine Similarity K-Nearest Neighbors Quiz

Language Model

Introduction Language Model Padding RNN/LSTM Dropout Multiple Layers LSTM Output Calculating Loss Predictions Tensor Indexing Quiz

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