Deep Learning with Keras

Keras 2.2.4    |    Intermediate
  • 19 Videos | 2h 3m 20s
  • Includes Assessment
  • Earns a Badge
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In this 19-video course, learners explore deep learning with Keras, including how to create and use neural networks with Keras for machine learning solutions. Begin with an overview of what neural networks are and their main components, followed by an introduction to Keras and its guiding principles. Observe how to configure Microsoft Cognitive Toolkit (CNTK) as your Keras backend; install and configure Keras; identify and work with both types of models available in Keras; and recognize features of commonly-used Keras layers and when to use them. Use Keras to make regression classifications and image classifications; Keras metrics to judge a model's performance; and Jupyter Notebooks with Keras. Next, download and load a data set from MNIST or CIFAR-10; explore data sets in Keras; prepare your data in Keras by defining input and target tensors, and compile the model in Keras. Then train and test your neural network; evaluate and score the performance of neural networks in Keras, and make predictions using your data set in Keras. The closing exercise involves using a neural network to make predictions.

WHAT YOU WILL LEARN

  • describe what neural networks are and their main components
    describe Keras and its guiding principles
    configure CNTK as your Keras backend
    install and configure Keras
    identify and work with both types of models available in Keras
    recognize features of commonly used Keras layers and when to use them
    use Keras to make regression classifications
    use Keras to make image classifications
    use Keras metrics to judge the performance of your model
  • use Jupyter Notebooks with Keras
    download and load a dataset from MNIST or CIFAR-10
    explore your dataset in Keras
    prepare your data in Keras by defining your input and target tensors
    compile the model in Keras
    train and test your neural network
    evaluate and score the performance of your neural network in Keras
    make predictions using your dataset in Keras
    use a neural network to make predictions

IN THIS COURSE

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