Sequential models: certification

I'm so proud to finally have completed the last course on #sequence #models from deeplearning.ai 's deep learning specialization by Andrew Ng!! This was a challenging but truly enriching and exciting course which taught me about:

- Sequential data

- Recurrent Neural Networks: vanilla #rnn's, GRU's and #lstm 's

- Language models and sequence generation

- Vanishing and exploding #gradients in RNN's

- Bi-directional RNN's

- NER

- Word embeddings: Properties and applications, analogies, Word2Vec (Skip-gram and CBOW) and Glove models

- Bias and debiasing of word embeddings

- Sequence-to-sequence architectures

- Image captioning

- #machinetranslation : Conditional language models, Beam search, length normalization, BLEU score and the #Attention model.

- Applications to face encoding, basic speech recognition (trigger word detection)

Certificate: https://www.coursera.org/account/accomplishments/certificate/SS3LDBXHSBJ6

#machinelearning #nlp #artificialintelligence #coursera #andrewng