
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>Raviraja's Blog</title>
      <link>https://tailwind-nextjs-starter-blog.vercel.app/blog</link>
      <description>Blogs about Deep Learning and NLP</description>
      <language>en-us</language>
      <managingEditor>raviraja.ghanta@gmail.com (Raviraja Ganta)</managingEditor>
      <webMaster>raviraja.ghanta@gmail.com (Raviraja Ganta)</webMaster>
      <lastBuildDate>Mon, 07 Jun 2021 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://tailwind-nextjs-starter-blog.vercel.app/tags/weights-and-bias/index.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://tailwind-nextjs-starter-blog.vercel.app/blog/mlops-wandb-integration</guid>
    <title>MLOps Basics [Week 1]: Model Monitoring - Weights and Bias</title>
    <link>https://tailwind-nextjs-starter-blog.vercel.app/blog/mlops-wandb-integration</link>
    <description>Tracking all the experiments like tweaking hyper-parameters, trying different models to test their performance and seeing the connection between model and the input data will help in developing a better model. In this post, let's see how to use Weights and Bias tool for doing all that.</description>
    <pubDate>Mon, 07 Jun 2021 00:00:00 GMT</pubDate>
    <author>raviraja.ghanta@gmail.com (Raviraja Ganta)</author>
    <category>mlops</category><category>deeplearning</category><category>nlp</category><category>deployment</category><category>wandb</category><category>weights and bias</category>
  </item>

    </channel>
  </rss>
