The document contains chemical structures represented using SMILES notation and connection tables. It also includes sections on machine learning concepts like neural networks, loss functions, and backpropagation for training models. Graphs, molecules and their representations are discussed in the context of using machine learning for molecular property prediction and generation.
5. N
NH
OO
HH
H
H H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
O
O
O
O
O
O
Cl
H
H
H
H
H
HH
H
H
H
H
H
H
H
H
H
H
Br
Br O P
O
O Br
Br
O
Br
Br
H
H
H
H
H
H
H
H
H
H
HH
H
HH
N
S
N
N
H
H
H
H
H
H
H
H
H
H
H
H
H
H
H
O
N
O
O
H
H
H
O
O
H
H
N
O
O
Cl
ClCl
H
H
H
H
H
H H
N
O
O
H
H
H
H
H
H
H H
H
N
O
O
H
H
H
H
H
H
H
N
H
N
O
O
N
O
O
H
H
H
H
H
H
H
H
N
CH3
O
O
H
N
Cl
Cl
Cl
Cl
Cl
H3C
O O
O
O
O
O
H3C
CH3
CH2
O
HN
O
O
NH
CH3
HO
OH
CH3
N
O
O
CH3
N
N
H
N
H
H3C
N
H3C
H3C
NH
O
N
O
NO
CH3
O N
NH2
O
CH3
Br
CH3
N
H3C
H
NS
N
O
CH3
N
OH
CH3
CH3N
N
N
CH3H3C
H2N NH2
H
OH
O
HO
CH3
H
H
O
CH3
H
O
OH3C HH
H
O
H3C
S
CH3
O
H
H
O
CH3
CH3
OO
HO
H3CH
HO
F
H
O
H3C
NH2
O
N
HO
HO
O
H
H
O
O
OH3C
O
O
O
CH3
O
CH3
HO
CH3
H
O
O
CH3
H
H
N
H
N O
H3C
O
O
O
26. x =
x1
x2
y
(z)
z
+1
1
tanh(z) 2 ( 1, 1)
x1
x2
y
11
h0
1
h0
2
h1
h2
h3
w0
ji
w00
i
wkj
i
0
j
ijk
✓ = (wkj, w0
ji, w00
i , 0
j, i)
y =
2X
i
w00
i (h0
i i) =
2X
i
w00
i
0
@
3X
j
w0
ji (hj
0
j) i
1
A
=
2X
i
w00
i
0
@
3X
j
w0
ji
2X
k=1
wkjxk
0
j
!
i
1
A