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Long Short-Term Memory (LSTM), Clearly Explained
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Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make them difficult to train. This is where Long Short-Term Memory (LSTM) saves the day. Long Short-Term Memory is a type of recurrent neural network that can handle much larger sequences of data without those pesky exploding/vanishing gradient problems that plague basic recurrent neural networks.
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0:00 Awesome song, introduction and main ideas
4:19 The sigmoid and tanh activation functions
5:58 LSTM Stage 1: The percent to remember
9:25 LSTM Stage 2: Update the long-term memory
12:42 LSTM Stage 3:Update the short-term memory
14:33 LSTM in action with real data
#StatQuest #LSTM #Dubbedwithaloud
Spanish
Portuguese
For a complete index of all the StatQuest videos, check out...
...or...
If you'd like to support StatQuest, please consider...
...or...
...a cool StatQuest t-shirt or sweatshirt:
...buying one or two of my songs (or go large and get a whole album!)
...or just donating to StatQuest!
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
0:00 Awesome song, introduction and main ideas
4:19 The sigmoid and tanh activation functions
5:58 LSTM Stage 1: The percent to remember
9:25 LSTM Stage 2: Update the long-term memory
12:42 LSTM Stage 3:Update the short-term memory
14:33 LSTM in action with real data
#StatQuest #LSTM #Dubbedwithaloud
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