More Related Content
What's hot
What's hot (20)
Similar to Rnn and lstm
Similar to Rnn and lstm (20)
Recently uploaded
Recently uploaded (20)
Rnn and lstm
- 1. RNN AND LSTM Submitted by Surajit,Shreshth
- 2. RNN(Recurrent Neural Network) 1. RNN is a type of neural network 2. Mainly works on time series data. It is a collection of data in some timely order. Generally the sequence is equispaced. 3. It has internal/hidden states to process the input sequence. 4. Output of a previous time step is also used in the next time step.
- 3. Practical Use of RNN It is least explored but has high potential in technical field. Some of its uses are handwriting recognition, speech recognition, Stock Market prediction etc.
- 4. Simplest architecture of RNN
- 7. Vanilla RNN
- 10. Types of RNN
- 11. LSTM(Long-Short Term Memory) Network It is a type of RNN. it uses some additional units to the standard units. A ‘memory cell’ is used to store the information for a long period of time. LSTM consists of a cell and three gates viz, input gate(i), forget gate(g), output gate(o).
- 12. LSTM contd.. Cell remember the information over time and Gates control the flow of informations into and out of the cell. f: Forget gate, Whether to erase cell i: Input gate, whether to write to cell o: Output gate, How much to reveal cell
- 13. Difference g represents the cell state
- 14. What’s next Furthering our knowledge of RNNs and timeseries prediction. Getting a grasp of financial stock market terminology and other relevant domain expertise to understand the problems better. Understanding how these are linked to bring out stock market predictions based on machine learning techniques.