nicodjimenez/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
Python
Issues
- 1
The backpropagation part is needed?
#50 opened by xuqingyu26 - 4
You forget the tanh function in the last computation in the part of def bottom_data_is():
#47 opened by mikechen66 - 4
- 0
Error in using 2 outputs
#48 opened by raj1052 - 4
The tanh_derivative should be : 1. + values**2
#41 opened by Ningshiqi - 4
about tan(s)
#9 opened by lcdevelop - 7
y_list dimension
#1 opened by evbo - 0
loss compute
#46 opened by dwwx - 0
lstm.py the 97 line
#43 opened by chenyingjie2012 - 0
- 1
self.state.h = self.state.s * self.state.o
#42 opened by niumeng07 - 0
I don't understand wi_diff wf_diff etc
#40 opened by kaikai-sk - 0
I have a question of ds,how to compulete ds?
#39 opened by kaikai-sk - 0
can't convergence
#37 opened by fmscole - 1
new dataset
#29 opened by KaaiLee - 1
Execution problem
#36 opened by vijayaprabakarank - 0
How to predict a new sequence ?
#34 opened by demonSong - 0
Swift port
#31 opened by emilianbold - 5
mem_cell_ct =100 but only 4 LSTM nodes
#12 opened by ichraibi - 5
- 0
A parameter (x_dim) appears to be unused
#26 opened by ruffrey - 0
action recogniton
#23 opened by Autoom - 0
Usage of the LSTM
#21 opened by robinjungers - 0
Each cell gets x_input
#20 opened by Demaunt - 0
Schematic diagram of the Architecture?
#16 opened by greninja - 0
What does "M" really mean?
#11 opened by xiaohu2015 - 1
Ported to Julia
#10 opened by ehknight - 2
No tanh on state.s in 'bottom_data_is'
#7 opened by arryon - 2
- 0
- 1
- 7
Where does constant error carousel come from?
#2 opened by evbo