43. Long Short Term Memory
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What is long term memory?
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Improving your memory – 6 Minute English
Improve your English vocabulary and speaking with 6 Minute English! Storing information is an important function of our brains and scientists are always looking at ways to improve it but also to stop it deteriorating.
Neil and Rob discuss ways of improving your memory and teach you new vocabulary that they hope you’ll remember later!
You’ll find the transcript and vocabulary on our website: http://www.bbc.co.uk/learningenglish/english/features/6minuteenglish/ep190131
𝐌𝐨𝐫𝐞 𝟔 𝐌𝐢𝐧𝐮𝐭𝐞 𝐄𝐧𝐠𝐥𝐢𝐬𝐡 𝐞𝐩𝐢𝐬𝐨𝐝𝐞𝐬:
Would you eat less meat to save the environment?
Are there benefits to schadenfreude?
Is music getting faster?
What makes you happy?
6 Minute English
things we remember from the past
learning by ‘doing’ and practising something over and over again
seeing something in the situation where it usually exists
changing information into a form that can be stored and later recalled
doing something based on feelings rather than facts or proof
a disease affecting your brain that makes it difficult to remember things and gets worse as you get older
[Image: Getty Images]BBCLearningEnglish 6MinuteEnglish LearnEnglish
What is LSTM (Long Short Term Memory)?
Learn about RNNs (Recurrent Neural Networks) → http://ibm.biz/rnnguide
Check out IBM Watson → http://ibm.biz/ibmwatson
Long Short Term Memory, also known as LSTMs, are a special kind of Recurrent Neural Network, or RNN, architecture capable of learning longterm dependencies as well as a solution to the vanishing gradient problem that can occur when training traditional RNNs.
In this lightboard video, Martin Keen with IBM, breaks down why we need LSTMs to address the problem of longterm dependencies, how the cell state and its various gates help transfer relative information in a sequence chain, and a few key LSTM use cases.
Watch \”What are Convolutional Neural Networks (CNNs)\” lightboard video → https://youtu.be/QzY57FaENXg
Watch \”What are GANs (Generative Adversarial Networks)?\” → https://youtu.be/TpMIssRdhco
Get started on IBM Cloud at no cost → https://www.ibm.biz/BdfLkF
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LSTM RNN AI
RNN (Recurrent Neural Network) กับ LSTM (Long Short Term Memory)คืออะไร???
RNN (Recurrent Neural Network) is another type of neural network. what makes it different from feedforward neural network is that the output is recurrent back to the input for the next time step. To be more specific in RNN, the output at time step t recurrent back to the network to be used as input at time step t + 1.
Even though RNN is very popular in sequential model, there are still some drawbacks. RNN can be suffer from vanishing gradient problem and cannot capture longterm relationship of the data. LSTM (Long Short Term Memory) improve from standard RNN by incorporating 4 additional components.
1. Cell state (Memory): store information
2. Input gate: decide what information to be input to the memory
3. Forget gate: decide what information to be removed from the memory
4. Output gate: decide what information from the memory will affect the prediction
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