Previous Page

Deep Learning with Keras

Deep Learning with Keras

Expected Duration
Lesson Objectives
Course Number
Expertise Level


Explore deep learning with Keras, including how to create and use neural networks with Keras.

Expected Duration (hours)

Lesson Objectives

Deep Learning with Keras

  • 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
  • Course Number:

    Expertise Level