Did you mean?
Search Results - Showing 0 - 12 Of 44
_deep-learning-for-natural-language-processing-using-apache-spark-and-tensorflowalexis-roos-salesforcewenhao-liu-sales.jpg "When interacting with customers, being able to extract relevant communications information in real-time is critical for success. This presentation will illustrate how Salesforce is using Apache Spark and TensorFlow to monitor customer activities in real-time and surface insights. Long Short-Term Memory (LSTM) networks have proven to be an effective technology to achieve state-of-the-art results on a variety of Natural Language Processing (NLP) tasks. It naturally captures the temporal informatio")
⏲ 22 min 63 sec ✓ 13-Jun-2018
_simple-explanation-of-lstm-124-deep-learning-tutorial-36-tensorflow-keras-amp-python.jpg "codebasics")
⏲ 14 minutes 37 seconds 👁 188.1K
_lstm-time-series-forecasting-tutorial-in-python.jpg "Greg Hogg")
⏲ 29 minutes 53 seconds 👁 89.7K
_the-rise-of-conversational-ai-david-low-pand-ai.jpg "In this fast-paced world, customers demand ease and efficiency when they talk to a company. Here comes “Chatbot”, an automated conversational agent which conducts conversations via text or voice.nnFor this talk, I will be starting with the current state of Conversational Intelligence and some common Python libraries used in building chatbots. Various approaches of building conversation engine such as pattern matching, word embedding and long short-term memory (LSTM) models will be discussed.")
⏲ 21 min 30 sec ✓ 11-Jun-2018
_stock-price-prediction-amp-forecasting-with-lstm-neural-networks-in-python.jpg "Greg Hogg")
⏲ 28 minutes 36 seconds 👁 70.4K
_long-short-term-memory-lstm-clearly-explained.jpg "StatQuest with Josh Starmer")
⏲ 20 minutes 45 seconds 👁 220.6K
_screencast-2017-06-07-105811-2017-06-07-08-12-11.jpg "PyTorch Poetry Language Model.nTrained on approx 600,000 lines of poetrynhttp://bdp.glia.cannn+~+nnnjhave@jhave-Ubuntu:~/Documents/Github/pytorch-poetry-generation/word_language_model$ python generate_2017-INFINITE-1M.py --cuda --checkpoint='/home/jhave/Documents/Github/pytorch-poetry-generation/word_language_model/models/2017-06-17T09-22-17/model-LSTM-emsize-1860-nhid_1860-nlayers_2-batch_size_20-epoch_30-loss_6.00-ppl_405.43.pt' nnMode: LSTMnEmbedding size: 1860nHidden Layers: 1860nBatch size:")
⏲ 99 min 42 sec ✓ 19-Jun-2017
_time-series-forecasting-with-rnnlstm124-complete-python-tutorial124.jpg "Nachiketa Hebbar")
⏲ 13 minutes 58 seconds 👁 80.3K
_181-multivariate-time-series-forecasting-using-lstm.jpg "DigitalSreeni")
⏲ 22 minutes 40 seconds 👁 128.9K
_qrnn-line-length-12-32-verse-length-7-screencast-2017-12-22-180122.jpg "(awd-py36) jhave@jhave-Ubuntu:~/Documents/Github/awd-lstm-lm-master$ python generate_INFINITE_RANDOM-SEED_mintmax_tUSERctrl.py --cuda --words=111 --checkpoint=")
⏲ 53 min 27 sec ✓ 23-Dec-2017
_long-short-term-memory-with-pytorch-lightning.jpg "StatQuest with Josh Starmer")
⏲ 33 minutes 24 seconds 👁 26.8K
_lstm-next-word-prediction-in-python-124-lstm-python-tensorflow-124-lstm-python-keras-124-lstm-python.jpg "Unfold Data Science")
⏲ 17 minutes 31 seconds 👁 4.8K
Related Searches
Search Videos
Recent Searches
_deep-learning-for-natural-language-processing-using-apache-spark-and-tensorflowalexis-roos-salesforcewenhao-liu-sales.webp "When interacting with customers, being able to extract relevant communications information in real-time is critical for success. This presentation will illustrate how Salesforce is using Apache Spark and TensorFlow to monitor customer activities in real-time and surface insights. Long Short-Term Memory (LSTM) networks have proven to be an effective technology to achieve state-of-the-art results on a variety of Natural Language Processing (NLP) tasks. It naturally captures the temporal informatio")
_simple-explanation-of-lstm-124-deep-learning-tutorial-36-tensorflow-keras-amp-python.webp "codebasics")
_lstm-time-series-forecasting-tutorial-in-python.webp "Greg Hogg")
_the-rise-of-conversational-ai-david-low-pand-ai.webp "In this fast-paced world, customers demand ease and efficiency when they talk to a company. Here comes “Chatbot”, an automated conversational agent which conducts conversations via text or voice.nnFor this talk, I will be starting with the current state of Conversational Intelligence and some common Python libraries used in building chatbots. Various approaches of building conversation engine such as pattern matching, word embedding and long short-term memory (LSTM) models will be discussed.")
_stock-price-prediction-amp-forecasting-with-lstm-neural-networks-in-python.webp "Greg Hogg")
_long-short-term-memory-lstm-clearly-explained.webp "StatQuest with Josh Starmer")
_screencast-2017-06-07-105811-2017-06-07-08-12-11.webp "PyTorch Poetry Language Model.nTrained on approx 600,000 lines of poetrynhttp://bdp.glia.cannn+~+nnnjhave@jhave-Ubuntu:~/Documents/Github/pytorch-poetry-generation/word_language_model$ python generate_2017-INFINITE-1M.py --cuda --checkpoint='/home/jhave/Documents/Github/pytorch-poetry-generation/word_language_model/models/2017-06-17T09-22-17/model-LSTM-emsize-1860-nhid_1860-nlayers_2-batch_size_20-epoch_30-loss_6.00-ppl_405.43.pt' nnMode: LSTMnEmbedding size: 1860nHidden Layers: 1860nBatch size:")
_time-series-forecasting-with-rnnlstm124-complete-python-tutorial124.webp "Nachiketa Hebbar")
_181-multivariate-time-series-forecasting-using-lstm.webp "DigitalSreeni")
_qrnn-line-length-12-32-verse-length-7-screencast-2017-12-22-180122.webp "(awd-py36) jhave@jhave-Ubuntu:~/Documents/Github/awd-lstm-lm-master$ python generate_INFINITE_RANDOM-SEED_mintmax_tUSERctrl.py --cuda --words=111 --checkpoint=")
_long-short-term-memory-with-pytorch-lightning.webp "StatQuest with Josh Starmer")
_lstm-next-word-prediction-in-python-124-lstm-python-tensorflow-124-lstm-python-keras-124-lstm-python.webp "Unfold Data Science")
![[+]](/images/menu.gif){kind=small}