Code Monkey home page Code Monkey logo

Comments (2)

drstarson avatar drstarson commented on August 18, 2024

@ctiennot Did you succeed training the model and getting the results after adding the parenthesis. It looks like the parenthesis are needed, but after adding them, the system doesn't seem to be training well. I'm getting low loss (~0.2), but the resulting depth images are all black. Would appreciate any advice or additional info.

from cnn_depth_tensorflow.

josslynZcn avatar josslynZcn commented on August 18, 2024

@drstarson i have experience the same problem with you. and i wonder if you solve this problem .would appreciate with the solution about this problen. i would be so thankful if you connect with me [email protected]

from cnn_depth_tensorflow.

Related Issues (17)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.