Welcome to Day 63 of our 100 Days of Python series! In this episode, we delve deeper into Natural Language Processing (NLP) by exploring:
Word embeddings with word2vec
Building a text generation model with recurrent neural networks (RNNs)
Performing Named Entity Recognition (NER) using deep learning
These advanced techniques are essential for creating intelligent text-based applications. Follow along and elevate your Python NLP skills to the next level!
Tags:
Python, NLP, Natural Language Processing, word2vec, Text Generation, RNN, Named Entity Recognition, NER, Deep Learning, TensorFlow, Keras, SpaCy, Python Programming, AI, Data Science, 100 Days of Python
Hashtags:
#Python #NLP #DeepLearning #TextGeneration #WordEmbeddings #NER #100DaysOfPython #DataScience #ArtificialIntelligence