Deep Learning with Keras
Keras 2.2.4
| Intermediate
- 19 videos | 1h 54m 50s
- Includes Assessment
- Earns a Badge
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
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Describe what neural networks are and their main componentsDescribe keras and its guiding principlesConfigure cntk as your keras backendInstall and configure kerasIdentify and work with both types of models available in kerasRecognize features of commonly used keras layers and when to use themUse keras to make regression classificationsUse keras to make image classificationsUse keras metrics to judge the performance of your model
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Use jupyter notebooks with kerasDownload and load a dataset from mnist or cifar-10Explore your dataset in kerasPrepare your data in keras by defining your input and target tensorsCompile the model in kerasTrain and test your neural networkEvaluate and score the performance of your neural network in kerasMake predictions using your dataset in kerasUse a neural network to make predictions
IN THIS COURSE
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1m 39s
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7m 59sUpon completion of this video, you will be able to describe what neural networks are and their main components. FREE ACCESS
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4m 4sUpon completion of this video, you will be able to describe Keras and its guiding principles. FREE ACCESS
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7m 41sIn this video, you will learn how to configure CNTK to work with Keras. FREE ACCESS
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3m 51sFind out how to install and configure Keras. FREE ACCESS
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9m 53sDuring this video, you will learn how to identify and work with both types of models available in Keras. FREE ACCESS
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8m 40sUpon completion of this video, you will be able to recognize features of commonly used Keras layers and when to use them. FREE ACCESS
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5m 28sIn this video, find out how to use Keras to make predictions. FREE ACCESS
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7m 34sIn this video, you will use Keras to classify images. FREE ACCESS
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4m 44sIn this video, you will use Keras metrics to evaluate the performance of your model. FREE ACCESS
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5m 23sTo find out how to use Jupyter Notebooks with Keras, consult online documentation or ask a question on a relevant forum. FREE ACCESS
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4m 35sIn this video, you will download and load a dataset from MNIST or CIFAR-10. FREE ACCESS
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5m 2sIn this video, you will learn how to explore your dataset using Keras. FREE ACCESS
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6m 47sIn this video, you will prepare your data for Keras by defining your input and target tensors. FREE ACCESS
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6m 55sIn this video, you will learn how to compile a model in Keras. FREE ACCESS
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5m 47sIn this video, you will learn how to train and test your neural network. FREE ACCESS
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7m 7sLearn how to evaluate and score the performance of your neural network in Keras. FREE ACCESS
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5m 57sTo make predictions using your dataset in Keras, find out how. FREE ACCESS
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5m 45sIn this video, you will learn how to use a neural network to make predictions. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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