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Beginner Level
Aprendizado de máquina para aplicativos
20,403Learners already enrolled
5-6 Avg Hours
CPD Accredited
Aprendizado de máquina para aplicativos
Aprenda as noções básicas de como usar o Python para aprendizado de máquina e desenvolvimento de aplicativos iOS com este curso on-line gratuito.
Este curso on-line gratuito de aprendizado de máquina aborda o Python fundamental para o aprendizado de máquina. Você aprenderá o que é aprendizado de máquina (ML) e como ele é aplicado, estudará as c... Este curso on-line gratuito de aprendizado de máquina aborda o Python fundamental para o aprendizado de máquina. Você aprenderá o que é aprendizado de máquina (ML) e como ele é aplicado, estudará as cinco etapas da integração de ML e analisará a instalação do Anaconda e do Atom, incluindo seus aplicativos. Você aprenderá como criar um aplicativo iOS e criar um modelo de classificação capaz de fazer previsões usando redes neurais e muito mais!
COURSE PUBLISHER DevslopesCoder and app developer
Total XP: 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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Knowledge & Skills You Will Learn
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Alison Graduate I have learn to understand the use of vision framework with core ML to handle and convert images also how-to provide examples of how core machine learning can be used to create a new xcode project.
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