_bidirectional-rnn-124-deep-learning-tutorial-38-tensorflow-keras-amp-python-preview-1.jpg "Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python) from lstm in python Video Screenshot Preview 1")
Gallery_bidirectional-rnn-124-deep-learning-tutorial-38-tensorflow-keras-amp-python-preview-3.jpg "Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python) from lstm in python Video Screenshot Preview 3")
Gallery_bidirectional-rnn-124-deep-learning-tutorial-38-tensorflow-keras-amp-python-preview-hqdefault.jpg "Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python) from lstm in python Video Screenshot Preview hqdefault")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
Jump To Video Parts
⏲ Duration: 5 minutes 50 seconds
👁 View: 29.5K times
Play Audio:👁 View: 29.5K times
Description:
codebasics
codebasics
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_another-3h8m-of-pytorch-for-poetry-generation-silent-25-03-2017-14h04.webp "Another vertigo companionnfor the posthuman era.nn~nnAll poems generated during this run in a single text file: https://github.com/jhave/pytorch-poetry-generation/blob/master/word_language_model/GENERATED/GENERATED-25032017-1404_3h8m-PyTorch.txtnn~nnWhen that night you swelling, n I turn your back until you got mine. n At the place of the tents, n As a month colliding, and I die, n That what you see was painted through the rain. n n~nnalias pbs2=")
⏲ 113 min 12 sec ✓ 26-Mar-2017
_multivariate-time-series-forecasting-using-lstm-gru-amp-1d-cnns.webp "Greg Hogg")
_recurrent-neural-networks-124-lstm-price-movement-predictions-for-trading-algorithms.webp "CodeTrading")
⏲ 14 minutes 51 seconds 👁 43.1K
_h14-smart-campus.webp "The purpose of our project is to learn how people are moving inside buildings on UT’s campus and develop proactive systems that reduce risks during pandemics. In our project, we develop an indoor localization system that is able to determine where an individual is located in the Engineering Education and Research Center based on their RSSI connection strength to several wifi access networks in the building. Then, we process collected data that contains how individuals are moving through the bu")
_tips-amp-tricks-how-to-reshape-input-data-for-long-short-term-memory-lstm-networks-in-tensorflow.webp "eMaster Class Academy")
⏲ 26 minutes 2 seconds 👁 6.4K
_time-series-lstm-advanced-data-analytics-using-python-and-python-automation.webp "� In this video, you will learn Time Series LSTM as a part of Advanced Data Analytics using Python and Python Automation training.nn� For Corporate/Group training: Checkout https://www.zarantech.com/corporate-training/n� Schedule a call to discuss your requirement: https://calendly.com/zarantechn� And don't forget to Follow our Data Science Community page, https://www.linkedin.com/showcase/data-science-learner-community/n==========================================nWANT TO KNOW MORE? n☎")
⏲ 68 min 23 sec ✓ 13-Jan-2022
_stock-price-prediction-using-python-amp-machine-learning.webp "Computer Science")
_amazon-stock-forecasting-in-pytorch-with-lstm-neural-network-time-series-forecasting-124-tutorial-3.webp "Greg Hogg")
⏲ 31 minutes 53 seconds 👁 23.4K
_another-3h8m-of-pytorch-for-poetry-generation-silent-25-03-2017-14h04.jpg)
_multivariate-time-series-forecasting-using-lstm-gru-amp-1d-cnns.jpg)
_recurrent-neural-networks-124-lstm-price-movement-predictions-for-trading-algorithms.jpg)
_h14-smart-campus.jpg)
_tips-amp-tricks-how-to-reshape-input-data-for-long-short-term-memory-lstm-networks-in-tensorflow.jpg)
_time-series-lstm-advanced-data-analytics-using-python-and-python-automation.jpg)
_stock-price-prediction-using-python-amp-machine-learning.jpg)
_amazon-stock-forecasting-in-pytorch-with-lstm-neural-network-time-series-forecasting-124-tutorial-3.jpg)
![[+]](/images/menu.gif){kind=small}