Beskrivning
Machine Learning has seen a tremendous growth in recent years. The ever increasing amount of information collected by enterprises and organizations has emphasized the need to create intelligent software built on top of the collected data.
The use of neural networks and deep learning has been a major contributor to the success in this new field of software development. Historical data is used to train models that learns to identify complex patterns which can be used to analyze future events.
The fast development in this area has created a vast amount of possibilities for enterprises and organizations to create innovative solutions that solves and automates complex tasks. Today, machine learning is applied in numerous applications ranging from translation of text, fraud detection and self driving cars.
What you will learn
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Practical application of machine learning
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Theoretical background
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Developing with TensorFlow – one of the largest frameworks for machine learning
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Efficient use of machine learning on mobile units
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Introduction to a wide range of tools used in machine learning
Agenda
Introduction
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Overview of machine learning
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Overview of core concepts in ML
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Introduction to TensorFlow
Neural Networks
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Neural Networks and its applications
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Core concepts: Layouts, neurons, activation-functions and regularization
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Transfer learning
Applied Machine Learning
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Practical application of machine learning
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Prediction and data analysis
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Neural networks and image analysis
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Text analysis and neural networks
Inference on mobile units
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Overview of TensorFlow Lite
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Adapting neural networks to mobile units
Recensioner
Det finns inga recensioner än.