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nicodjimenez
/
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
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The backpropagation part is needed?
#50
xuqingyu26
opened
2 years ago
1
Remove incorrect var `top_diff_s` in derivative
#49
tonyzhang617
closed
2 years ago
2
Error in using 2 outputs
#48
raj1052
opened
3 years ago
0
You forget the tanh function in the last computation in the part of def bottom_data_is():
#47
mikechen66
opened
4 years ago
4
loss compute
#46
dwwx
opened
4 years ago
0
Ported to JavaScript for Nodejs
#45
carlosascari
closed
4 years ago
1
Update lstm.py
#44
genesis02
closed
5 years ago
0
lstm.py the 97 line
#43
chenyingjie2012
opened
5 years ago
0
self.state.h = self.state.s * self.state.o
#42
niumeng07
closed
5 years ago
1
The tanh_derivative should be : 1. + values**2
#41
Ningshiqi
opened
5 years ago
4
I don't understand wi_diff wf_diff etc
#40
kaikai-sk
opened
6 years ago
0
I have a question of ds,how to compulete ds?
#39
kaikai-sk
opened
6 years ago
0
Add Ruby
#38
arjunmenon
opened
6 years ago
1
can't convergence
#37
fmscole
opened
6 years ago
0
Execution problem
#36
vijayaprabakarank
opened
6 years ago
1
fix typo, remove misused function
#35
shewmingg
opened
6 years ago
0
How to predict a new sequence ?
#34
demonSong
opened
6 years ago
0
why there is no 0.5* in the equation of the derivative of sate(t) ?
#33
tinymindxx
closed
2 years ago
4
Revert "Removed some unused variables in the program"
#32
BlackGuap1
closed
6 years ago
0
Swift port
#31
emilianbold
opened
6 years ago
0
Add activation function to cells' output
#30
ladykillerjason
opened
6 years ago
1
new dataset
#29
KaaiLee
opened
6 years ago
1
line 85&86:if s_prev == None: s_prev = np.zeros_like(self.state.s)
#28
dingqunfei
opened
6 years ago
5
Explain self.wi = rand_arr(-0.1, 0.1, mem_cell_ct, concat_len)
#27
shaifugpt
opened
6 years ago
0
A parameter (x_dim) appears to be unused
#26
ruffrey
opened
6 years ago
0
fix ambiguous ValueError
#25
bbtarzan12
closed
6 years ago
0
Update lstm.py
#24
wugang33
closed
7 years ago
0
action recogniton
#23
Autoom
opened
7 years ago
0
Nicer formatting for test.py output; PEP8
#22
naught101
closed
6 years ago
1
Usage of the LSTM
#21
robinjungers
opened
7 years ago
0
Each cell gets x_input
#20
Demaunt
opened
7 years ago
0
Revert "Removed some unused variables in the program"
#19
nicodjimenez
closed
7 years ago
0
Update README.md
#18
Alfiuman
closed
7 years ago
0
Update README.md
#17
Alfiuman
closed
7 years ago
0
Schematic diagram of the Architecture?
#16
greninja
opened
7 years ago
0
Moved derivative sigmoid and tanh into seperate functions
#15
ScottMackay2
closed
7 years ago
0
Removed some unused variables in the program
#14
ScottMackay2
closed
7 years ago
0
Replaced print function for Python 2 AND 3 support
#13
ScottMackay2
closed
7 years ago
0
mem_cell_ct =100 but only 4 LSTM nodes
#12
ichraibi
opened
7 years ago
5
What does "M" really mean?
#11
xiaohu2015
opened
7 years ago
0
Ported to Julia
#10
ehknight
closed
7 years ago
1
about tan(s)
#9
lcdevelop
opened
7 years ago
4
question
#8
lcdevelop
closed
7 years ago
2
No tanh on state.s in 'bottom_data_is'
#7
arryon
closed
7 years ago
2
Port to D
#6
Marenz
closed
7 years ago
0
After training, how to input some test samples?
#5
huangshichen
closed
7 years ago
1
randomize the weight values
#4
kurnianggoro
closed
8 years ago
0
add parentheses for print
#3
bquast
closed
8 years ago
1
Where does constant error carousel come from?
#2
evbo
closed
8 years ago
7
y_list dimension
#1
evbo
closed
8 years ago
7
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