Neural Networks

Machine Learning    |    Beginner
  • 13 videos | 30m 56s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 55 users Rating 4.2 of 55 users (55)
Due to recent advancements in processing, neural networks have become easier to train, which made them extremely popular. Explore neural networks and how to use them.

WHAT YOU WILL LEARN

  • Describe neural networks and their capabilities
    Describe how different neural networks are structured
    Describe how cost functions are used to train neural networks
    Describe activation functions and list different types of commonly used activation functions
    Describe feedforward neural networks and the intuition behind calculating gradients in neural networks
    Describe how to use backpropagation for more efficient neural network training
    Describe batch learning and why it makes neural network training easier
  • Describe tensorflow and its high-level architecture
    Set up tensorflow for use on a cpu
    Import data into tensorflow using built-in data sources and external data sources
    Implement and train a single-layer nn in tf
    Implement and train a multilayer nn in tf
    Use tensorflow to create a nn that predict home prices

IN THIS COURSE

  • 2m
    After completing this video, you will be able to describe neural networks and their capabilities. FREE ACCESS
  • 2m 34s
    After completing this video, you will be able to describe how different neural networks are structured. FREE ACCESS
  • Locked
    3.  Cost Functions for Neural Networks
    2m 29s
    After completing this video, you will be able to describe how cost functions are used to train neural networks. FREE ACCESS
  • Locked
    4.  Activation Functions
    1m 55s
    After completing this video, you will be able to describe activation functions and list different types of activation functions that are commonly used. FREE ACCESS
  • Locked
    5.  Training Neural Networks
    2m 53s
    Upon completion of this video, you will be able to describe feedforward neural networks and the intuition behind calculating gradients in neural networks. FREE ACCESS
  • Locked
    6.  Training Neural Networks With Backpropagation
    1m 32s
    After completing this video, you will be able to describe how to use backpropagation to train neural networks more efficiently. FREE ACCESS
  • Locked
    7.  Batch Learning
    1m 23s
    Upon completion of this video, you will be able to describe batch learning and why it is advantageous for training neural networks. FREE ACCESS
  • Locked
    8.  Introducing TensorFlow
    1m 33s
    Upon completion of this video, you will be able to describe TensorFlow and its high-level architecture. FREE ACCESS
  • Locked
    9.  Setting Up TensorFlow
    2m 52s
    In this video, you will set up TensorFlow for use on a CPU. FREE ACCESS
  • Locked
    10.  Importing Data in TensorFlow
    4m 36s
    In this video, you will learn how to import data into TensorFlow using built-in data sources and external data sources. FREE ACCESS
  • Locked
    11.  Building and Training a Single Layer NN in TF
    2m 58s
    In this video, you will learn how to implement and train a single-layer neural network in TensorFlow. FREE ACCESS
  • Locked
    12.  Building and Training a Multilayer NN in TF
    1m 50s
    During this video, you will learn how to implement and train a multilayer neural network in TensorFlow. FREE ACCESS
  • Locked
    13.  Exercise: Predict Home Prices with a NN
    2m 24s
    Learn how to use TensorFlow to create a neural network that predicts home prices. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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