The convolutional layer
after the neural network’s
input layer
is a powerful tool
to extract useful
higher – level features
from local patches
of the raw input data
with this architecture
you can explain
short – term dependencies
so imagine
this methodology
continued
with bidirectional approach
to get an idea
of the improvement
in understanding
complex thoughts
between human beings
and hyper structures
of Humanity.