About this Paths
TensorFlow is an open-source machine learning software library developed Google. Since it was released in 2015, it has become one of the most widely-used machine learning libraries. This skill will teach you how to implement the machine learning workflow using TensorFlow, and apply the library from Python to solve simple and complex machine learning problems.
What You'll Learn
| From | Pluralsight |
|---|---|
| Hours | 28 |
| Instructors | Jerry Kurata, Janani Ravi, Vitthal Srinivasan, Jon Flanders, Justin Flett |
| Language | English |
| Subjects | Programming Data Science IT & Networking |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this Paths
Listed in the order in which they should be taken
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Developing sophisticated machine learning solutions is a difficult task. There are many processing steps that must be performed, and how this processing is performed is a function... Pluralsight |
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Understanding the Foundations of TensorFlow In this course, Understanding the Foundations of TensorFlow, you'll learn the TensorFlow library from very first principles. First, you'll start with the basics of machine... Pluralsight |
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Building Regression Models Using TensorFlow TensorFlow is all about building neural networks that can "learn" functions, and linear regression can be learnt by the simplest possible neural network - of just 1 neuron! In... Pluralsight |
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Building Classification Models with TensorFlow (You were viewing this course) TensorFlow is a great way to implement powerful classification models such as Convolutional Neural Networks and Recurrent Neural Networks. In this course, Building Classification... Pluralsight |
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Building Unsupervised Learning Models with TensorFlow Unsupervised learning techniques are powerful, but under utilized and often not well understood. In this course, Building Unsupervised Learning Models with TensorFlow, you'll... Pluralsight |
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Debugging and Monitoring TensorFlow Programs An important facet of building good ML models is the ability to debug TensorFlow code when your models do not converge. Traditional debuggers fall short in this regard which is... Pluralsight |
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Deploying TensorFlow Models to AWS, Azure, and the GCP Deploying and hosting your trained TensorFlow model locally or on your cloud platform of choice - Azure, AWS or, the GCP, can be challenging. In this course, Deploying TensorFlow... Pluralsight |
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On Demand |
Language Modeling with Recurrent Neural Networks in TensorFlow Recurrent Neural Networks (RNN) performance and predictive abilities can be improved by using long memory cells such as the LSTM and the GRU cell. In this course, Language... Pluralsight |
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Implementing Image Recognition Systems with TensorFlow Running images through deep learning models is potentially the most typical scenario in which deep learning is used today. In this course, Implementing Image Recognition... Pluralsight |
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Implementing Predictive Analytics with TensorFlow Data Science and Machine Learning are rapidly growing fields that use scientific methods and processes to extract useful knowledge and insights from data. In this course,... Pluralsight |
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Sentiment Analysis with Recurrent Neural Networks in TensorFlow Sentiment analysis and natural language processing are common problems to solve using machine learning techniques. Having accurate and good answers to questions without trudging... Pluralsight |
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| From | Pluralsight |
|---|---|
| Hours | 28 |
| Instructors | Jerry Kurata, Janani Ravi, Vitthal Srinivasan, Jon Flanders, Justin Flett |
| Language | English |
| Subjects | Programming Data Science IT & Networking |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance
