Question: I want to use R to extract some text from a website. I am not able to access text using Rvest. The area I am interested in is the section 'Principal Investment Strategies' If I can extract that section I can use Grep to further analyze the text. But obtaining the section in extractable format is proving to be a challenge.

Link to the site is as follows: <http://quote.morningstar.com/etf-filing/Summary-Prospectus/2017/8/28/t.aspx?t=AGG&ft=497K&d=c6995d020ec0f1b3592873780a199bd1>

Answer: 
Usually, it's `glorot_uniform` by default. Different layer types might have different default `kernel_initializer`. When in doubt, just look in the source [code](https://github.com/fchollet/keras/blob/62d097c4ff6fa694a4dbc670e9c7eb9e2bc27c74/keras/layers/core.py#L798). For example, for `Dense` layer:

```
class Dense(Layer):
...
    def __init__(self, units,
                 activation=None,
                 use_bias=True,
                 kernel_initializer='glorot_uniform',
                 bias_initializer='zeros',
                 kernel_regularizer=None,
                 bias_regularizer=None,
                 activity_regularizer=None,
                 kernel_constraint=None,
                 bias_constraint=None,
                 **kwargs):

```
**GlorotUniform**, keras uses Glorot initialization with a uniform distribution.r = √(3/fan\_avg)

fan\_avg = (fan\_in + fan\_out) /2

number of inputs = fan\_in

number of nurons in a layer = fan\_out