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Machine Learning for Apps
Machine Learning for Apps
What You Will Learn In This Free Course
- Explain what machine learning (ML) ...
- Define the two most important chara...
- Describe how data is used to train ...
- Discuss the benefits of using Keras...
- Explain what machine learning (ML) is and how it is applied
- Define the two most important characteristics of data for machine learning
- Describe how data is used to train and test the learning model
- Discuss the benefits of using Keras rather than TensorFlow
- Describe how convolutional neural networks classify images
- Explain the role of max pooling layers, sequential and ReLU
- Outline the function of dropout layers, nodes and softmax
- Define how epochs measure accuracy and loss
- Explain how to declare and work with basic Python variables
- Discuss how to program basic arrays and tuples in Python
- Indicate how to create an Xcode project and configure an input field, text label and button for an iOS app
- Outline examples of how core machine learning can be used
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