title: Need answer about some Machine Learning related questions?
body: <p>Recently, we planned to build a system for image processing to extract info from images. At present we are using <code>AWS</code> Rekognition to do that. But, in some cases, we are not getting accurate information from AWS. So, we've planned to build our own custom one.</p>
  
  <p>We've 4/5 months to do that. At least a <code>POC</code> version. Also, we've planned to use <code>Tensorflow</code> for that. We all have no prior experience about Machine Learning &amp; Deep Learning but already have 5/6yrs of experience on Computer Programming by using different languages. </p>
  
  <p>Currently, I'm studying ML from a course of <code>Udemy</code> &amp; my approach to solve this problem is...</p>
  
  <ul>
  <li>Learn Machine Learning(ML)</li>
  <li>Learn Deep Learning(DL)</li>
  <li>Above ML &amp; DL maybe I'll be ready to understand the whole thing &amp; can able to build a system for Image Processing.</li>
  </ul>
  
  <p>In abstract what I've understood is, I've to write one Deep Learning program in <code>Python</code> by using <code>Tensorflow</code>. By using that Program I've to build a Model. Then I've to train that Model by using some training data. Then, when my Model achieves a certain level of accuracy I'll use some test data. </p>
  
  <p>Now, there some places at where I've bit confused &amp; here are my questions regarding that confusion...</p>
  
  <ol>
  <li><p>I know <code>tensorflow</code> is a library but at some places, it's also mentioned as a system. So, is it really a library(piece of code) only &amp; something more than that? </p></li>
  <li><p>I got some Image Processing Python code in <code>Tensorflow</code> tutorial section (<a href="https://www.tensorflow.org/tutorials/image_recognition" rel="nofollow noreferrer">https://www.tensorflow.org/tutorials/image_recognition</a>). We've tested that code &amp; it's working exactly the way <code>AWS</code> Recognition service work. So, here my doubt is... can I use this Python code as it is in our production work?</p></li>
  <li><p>After train a model with some training data does those training data get part of the whole system or Machine Learning Model extract some META info from those training data &amp; keep with itself rather whole raw training data(in my case it'll be raw images).</p></li>
  <li><p>Can I do all these ML+DL programmings over my Linux System? It has Pentium 4 with 8GB RAM.</p></li>
  <li><p>Also, want to know... the approach which I've mentioned to build a solution for my problem is sufficient or I need to do something else also.</p></li>
  </ol>
  
  <p>Need some guidance to clear out all these confusion.</p>
  
  <p>Thanks</p>