3. What topics and practical skills will I learn?

Q: 3. What topics and practical skills will I learn?

Recurrent Neural Networks : Build and train models like GRUs, LSTMs, bidirectional and deep RNNs. Word Embeddings & NLP : Learn embeddings like Word2Vec, GloVe, and apply them in NLP tasks. Attention & Seq2Seq : Explore attention mechanisms, beam search, sequence generation, BLEU scoring, and speech recognition. Transformer Networks : Understand transformer architectures, including hands-on application using libraries like Hugging Face.

Recurrent Neural Networks: Build and train models like GRUs, LSTMs, bidirectional and deep RNNs.
Word Embeddings & NLP: Learn embeddings like Word2Vec, GloVe, and apply them in NLP tasks.
Attention & Seq2Seq: Explore attention mechanisms, beam search, sequence generation, BLEU scoring, and speech recognition.
Transformer Networks: Understand transformer architectures, including hands-on application using libraries like Hugging Face.