puzzle branch paper paper message user-group

Warning: Invalid argument supplied for foreach() in /users/radixlibrary/www/views/layout/header1.php on line 404
Login
×
  • Radix
  • Learning Paths
  • Resources
  • Login
  • ×
























    Reviews
    Curator
    Path tree
    Overview

    Reviews

    Curator

    Path tree

    Artificial Neural Networks 3

    Before starting the complex mathematical discussion of neural networks, the implementation is presented. At the end you should be able to differentiate between different archtitectures of neural networks.

    Curated by Camillo

    Beginner Lvl 1
    8h
    5.3k
    4.6(21,556)
    Filter Paths
    Continue
    Top 3
    1. Module
    40

    TensorFlow Playground

    Educational visualization, set different parameters, number of hidden layers

    MARK AS DONE
    Author: Daniel Smilkov Shan Carter  
    Time required: 8h
    Cost: 0€
    2. Module
    40

    TensorFlow

    Google

    This library entails various deep learning algorithms.

    To start, run the code of the numerous tutorials!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

    O'Reilly Media, Inc.

    You should read this book if you want to better understand the algorithms and applications of Scikit-Learn, Keras, and TensorFlow libraries.

    This book entails everything you need to know about machine learning and deep learning!

    MARK AS DONE
    Author: Aurélien Géron   
    Time required: 8h
    Cost: 0€
    40

    Enterprise Deep Learning with TensorFlow

    OpenSAP

    Building TensorFlow Applications, Deep Networks and Sequence Models, Convolutional Networks, Industry Applications

    MARK AS DONE
    Author: Markus Noga   
    Time required: 8h
    Cost: 0€
    40

    Intro to Tensorflow for deep learning

    Udacity

    Practical introduction on how to build deep learning applications, image-classifier, cloud

    MARK AS DONE
    Author: Magnus Hyttsten Juan Delgado   Paige Bailey
    Time required: 8h
    Cost: 0€
    3. Module
    40

    Keras

    High-level neural networks API, running on top of TensorFlow, CNTK, or Theano

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    AI Hub

    Google Inc.

    This platform has one purpose, and that is to share collection of interactive machine learning examples on classification, unsupervised, recurrent nets, generative, basic ml, images & video, sounds & music, text & language.

    Look through and try to run these interesting Machine Learning examples!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    4. Module
    40

    Kaggle

    Community of data scientists, machine learning competitions, datasets

    As a starting point, check the "Titanic: Machine Learning from Disaster" challenge! Otherwise, pick one of your interest and participate!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    PyTorch

    Facebook

    Open source deep learning platform that provides a seamless path from research prototyping to production deployment

    This framework enjoys a huge popularity, especially among researchers!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Papers With Code

    Curated implementations of machine learning models in pytorch, tensor flow, caffe2, computer vision, natural language processing

    This platform entails papers that present solutions to various machine learning tasks from a theoretical and practical perspective.

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    5. Extras