recent advances in deep learning the blind with camera that describes surroundings in natural language to learn more about the prototypevisit watch? =xe rcj jy several emerging ecommerce enterprises are leveraging gans to design graphic tees for exampleprismaa popular photo-editing appand faceappa controversial yet intuitive app that can turn your existing photos into your older or younger selftook the internet by storm in deepfake videos are now (or soon will bea major problem on the internet deepfakes could produce almost realistic videos of celebrities speaking your input content with realistic speech and gestures atural language processing with deep learning discussed recurrent neural networks (rnnsand long shortterm memory (lstmnetworkswhich can be used to solve modern natural language processing (nlpproblems sequence models have also been very effective in speech recognition and related tasks within natural language processing recent years have seen phenomenal improvement with voice digital assistantssuch as apple' siri and amazon' alexa these assistants can now understand more languages and speech with regional influences and various accentsand respond with very realistic voice they also understand and distinguish your voice from someone else' voicealthough issues with accuracy still existof course in the early daysthese improvements were through lstm and gated recurrent units (grus)another variant similar to lstm lstm and gru models still have limitations they are computationally very expensive and process inputs sequentially the long-term dependencies problem still existsthough it is far better than with vanilla rnn