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Neural Networks

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About this learning path

Neural Networks

Can also be referred as Deep Learning. It is a broader family of machine learning methods on learning data representations supervised, semi-supervised or unsupervised

It comes from

  • ↑ Machine Learning
  • includes the learning paths

    and can be deepened into

  • ↓ Convolutional Neural Networks
  • ↓ Recurrent Neural Networks
  • ↓ Deep Reinforcement Learning
  • ↓ Generative Adversarial Network
  • Web resources
    Start immediately and learn at your own pace.

    Flexible schedule
    Set and adhere to flexible deadlines.

    Approx. 4 months to complete
    Recommended 12 hours/week

    Mostly English

    Curator

    There is no curator for
    Neural Networks yet!

    This How it Works

    You go station by station. In each station you'll find resources containing:

    1. Information

    2. Educational content

    3. Places to exchange infos

    4. Applications, Tools

    ( 5. Entertaining content )

    After studying a resource, you check it.

    Between stations, sometimes there are learning paths. They need to be studied as well as they pose a qualification for upcoming content.

    Learning Path

    Station

    1

     

    DeepLearning.TV Animations

    »

    Neural Networks and Deep Learning Online Book

    »

    Deep Learning Fundamentals Online Course

    »

    TensorFlow Playground

    »

    ConvNetJS Web Llibrary

    Station

    2

    »

    Backpropagation Algorithm

    »

    Activation function Method

    »

    Multilayer perceptron

    »

    Intro to Tensorflow for deep learning Online Course

    »

    Enterprise Deep Learning with TensorFlow

     

    MIT Deep Learning Lecture

    Station

    3

     

    Cross entropy

    »

    Keras Software Library

    »

    TensorFlow Framework

    »

    Seedbank Database

    »

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

    »

    deeplearning.ai Portal

     

    The AI Podcast Interviews

    Station

    4

    »

    deeplearning.net

    »

    Sebastian Ruder Articles

    »

    Batch normalization

    »

    PyTorch Framework

    »

    Caffe2 Software-framework

    »

    Microsoft Cognitive Toolkit Software-framework

    »

    Deep Learning Non-fictional

    »

    Neural Networks and Deep Learning Online Course

     

    Lex Fridman Research Scientist