signalflowsean

Deep Learning Notes

Input Layer

The input layer is made up of independent variables They input layer values should either be noramlized (values between 0 and 1) or their mean invarience should be 1

Synapses: connections from the input layer to the hidden layer Synapses get assigned weights Greatly influence how the nueral net learns

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signalflowsean

DSP-NOTES

SIGNALS: comes from sensors

SYSTEMS: process signals to produce other signals

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Continuous Time: x(t)

signalflowsean

```
user{
    id: auto,
    email: 
    organizationName: 
    organizationPhoneNumber: 
    globalHourlyRate:
    password:
    twilio: { 
      authToken:

signalflowsean

# Billable API
## USER
### POST /api/users
Purpose: Create a new user (register) 

Example: POST https://example.com/api/users

Place: Registration page

Request body:

signalflowsean

<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
    <channel>
        <title>Sean Test 1</title>
        <description>This rss feed has one element &lt;br /&gt;
This is to test an edge case&lt;br /&gt;
</description>
        <link>https://gist.githubusercontent.com/signalflowsean/fbbbd7041703f7a080e9236ccebece9b/raw/e6c83603075ae26b19f68ae07bee1ae17df4878a/gistfile1.txt</link>
        <copyright>@itunes</copyright>
        <docs>http://blogs.law.harvard.edu/tech/rss</docs>

signalflowsean

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