LSTM Networks EXPLAINED

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=QciIcRxJvsM

Recurrent neural nets are very versatile. However, they don’t work well for longer sequences. Why is this the case? You’ll understand that now. And we delve into one of the most common Recurrent Neural Network Architectures : LSTM. We also build a text generator in Keras to generate state union speeches. • BLOG: / dataemporium • • PLAYLISTS FROM MY CHANNEL • ⭕ Reinforcement Learning: • Reinforcement Learning 101 • Natural Language Processing: • Natural Language Processing 101 • ⭕ Transformers from Scratch: • Natural Language Processing 101 • ⭕ ChatGPT Playlist: • ChatGPT • ⭕ Convolutional Neural Networks: • Convolution Neural Networks • ⭕ The Math You Should Know : • The Math You Should Know • ⭕ Probability Theory for Machine Learning: • Probability Theory for Machine Learning • ⭕ Coding Machine Learning: • Code Machine Learning • MATH COURSES (7 day free trial) • 📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML • 📕 Calculus: https://imp.i384100.net/Calculus • 📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStati... • 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStati... • 📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra • 📕 Probability: https://imp.i384100.net/Probability • OTHER RELATED COURSES (7 day free trial) • 📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning • 📕 Python for Everybody: https://imp.i384100.net/python • 📕 MLOps Course: https://imp.i384100.net/MLOps • 📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP • 📕 Machine Learning in Production: https://imp.i384100.net/MLProduction • 📕 Data Science Specialization: https://imp.i384100.net/DataScience • 📕 Tensorflow: https://imp.i384100.net/Tensorflow • CODE FOR THIS VIDEO: https://github.com/ajhalthor/Keras_LS... • REFERENCES • [1] LSTM Landmark paper (Sepp Hochreiter ): https://www.bioinf.jku.at/publication... • [1] Slides from the Deep Learning book for RNNs: https://www.deeplearningbook.org/slid... • [2] Andrej Karpathy’s Blog + Code (You can probably understand more from this now!): http://karpathy.github.io/2015/05/21/... • [3] The Deep learning Book on Sequence Modeling: https://www.deeplearningbook.org/cont... • [4] Colah’s blog on LSTMs: http://colah.github.io/posts/2015-08-... • [6] Visualizing and Understanding RNNs : https://arxiv.org/pdf/1506.02078.pdf

#############################

New on site