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Jousef Murad
MNIST Fashion Datensatz mit Tensorflow programmieren.
Register for this course and see more details by visiting:
OpenCourser.com/course/e432a1/mnist
What's inside
Syllabus
Fasion MNIST - Machine Learning Kurs
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Der Kurs richtet sich an diejenigen, die an maschinellem Lernen interessiert sind und ihre Kenntnisse in diesem Bereich vertiefen möchten
Der Kurs wird von Jousef Murad unterrichtet, einem erfahrenen Fachmann im Bereich des maschinellen Lernens
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in MNIST Fashion Datensatz mit Tensorflow with these
activities:
Organize Course Materials
Show steps
Enhance learning by organizing and reviewing course materials, such as lectures, notes, assignments, and discussion forum posts.
Show steps
-
Gather all the course materials
-
Create a system for organizing and storing the materials
-
Review the materials regularly
Review TensorFlow Basics
Show steps
Review the basic concepts of TensorFlow and its functionalities, such as building and training models and working with data.
Browse courses on
TensorFlow
Show steps
-
Read the TensorFlow documentation and tutorials
-
Review online courses or videos on TensorFlow basics
-
Practice writing simple TensorFlow programs
Participate in Study Groups
Show steps
Collaborate with peers to discuss concepts, share knowledge, and work through problems, fostering a better understanding of the course material.
Browse courses on
Machine Learning
Show steps
-
Find or create a study group
-
Meet regularly to discuss course topics
-
Work together on assignments and projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow TensorFlow Tutorials
Show steps
Expand your knowledge of TensorFlow and explore specific topics in more detail by following guided tutorials and workshops.
Browse courses on
TensorFlow
Show steps
-
Search for tutorials on the TensorFlow website or other online resources
-
Follow the tutorials and complete the exercises
Practice MNIST Image Classification
Show steps
Apply TensorFlow to solve a practical problem by training a model to classify images of handwritten digits.
Browse courses on
MNIST
Show steps
-
Download the MNIST dataset
-
Preprocess the data and build a TensorFlow model
-
Train and evaluate the model
Create a TensorFlow Project
Show steps
Solidify your understanding of TensorFlow by creating a project that showcases your skills, such as building a custom image recognition or natural language processing model.
Browse courses on
TensorFlow
Show steps
-
Brainstorm project ideas
-
Design and implement the TensorFlow model
-
Train and evaluate the model
-
Document and share your project
Build a TensorFlow Application
Show steps
Test and solidify your skills by building a complete TensorFlow application that addresses a real-world problem or demonstrates your creativity.
Browse courses on
TensorFlow
Show steps
-
Define the problem and gather data
-
Design and implement the TensorFlow model
-
Train and evaluate the model
-
Deploy the application
Organize Course Materials
Show steps
Enhance learning by organizing and reviewing course materials, such as lectures, notes, assignments, and discussion forum posts.
Show steps
Show steps
Show steps
- Gather all the course materials
- Create a system for organizing and storing the materials
- Review the materials regularly
Review TensorFlow Basics
Show steps
Review the basic concepts of TensorFlow and its functionalities, such as building and training models and working with data.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Read the TensorFlow documentation and tutorials
- Review online courses or videos on TensorFlow basics
- Practice writing simple TensorFlow programs
Participate in Study Groups
Show steps
Collaborate with peers to discuss concepts, share knowledge, and work through problems, fostering a better understanding of the course material.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find or create a study group
- Meet regularly to discuss course topics
- Work together on assignments and projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow TensorFlow Tutorials
Show steps
Expand your knowledge of TensorFlow and explore specific topics in more detail by following guided tutorials and workshops.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Search for tutorials on the TensorFlow website or other online resources
- Follow the tutorials and complete the exercises
Practice MNIST Image Classification
Show steps
Apply TensorFlow to solve a practical problem by training a model to classify images of handwritten digits.
Browse courses on
MNIST
Show steps
Show steps
Show steps
- Download the MNIST dataset
- Preprocess the data and build a TensorFlow model
- Train and evaluate the model
Create a TensorFlow Project
Show steps
Solidify your understanding of TensorFlow by creating a project that showcases your skills, such as building a custom image recognition or natural language processing model.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Brainstorm project ideas
- Design and implement the TensorFlow model
- Train and evaluate the model
- Document and share your project
Build a TensorFlow Application
Show steps
Test and solidify your skills by building a complete TensorFlow application that addresses a real-world problem or demonstrates your creativity.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Define the problem and gather data
- Design and implement the TensorFlow model
- Train and evaluate the model
- Deploy the application
Career center
Learners who complete MNIST Fashion Datensatz mit Tensorflow will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models and algorithms to solve complex problems. The "MNIST Fashion Datensatz mit Tensorflow" course provides a solid introduction to machine learning concepts and techniques, using the MNIST Fashion dataset. By completing this course, learners can gain hands-on experience in building and evaluating machine learning models, making it a valuable asset for aspiring Machine Learning Engineers looking to advance their careers.
Data Scientist
Data Scientist
Data Scientists work to collect, clean, analyze, and interpret data from various sources, providing valuable insights and driving informed decision-making. The "MNIST Fashion Datensatz mit Tensorflow" course can be a valuable tool for aspiring Data Scientists, offering a strong foundation in data analysis and manipulation techniques using Tensorflow. The course's focus on the MNIST Fashion dataset would provide practical experience in applying these techniques, making it an excellent choice for those seeking to gain a competitive edge in the field.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The "MNIST Fashion Datensatz mit Tensorflow" course can be beneficial for Software Engineers specializing in data analysis or machine learning, as it provides a practical understanding of data handling and manipulation techniques using Tensorflow. Additionally, the course's focus on the MNIST Fashion dataset offers valuable experience in applying these techniques to real-world scenarios, making it a relevant choice for Software Engineers seeking to enhance their skills in this area.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and insights that inform decision-making. The "MNIST Fashion Datensatz mit Tensorflow" course offers a valuable foundation in data analysis techniques, using the MNIST Fashion dataset. By gaining experience in data handling, manipulation, and analysis with Tensorflow, learners can enhance their skills and become more competitive in the field of Data Analytics.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Quantitative Analysts who want to explore the application of machine learning techniques in finance. The course's focus on data analysis and manipulation with Tensorflow can provide valuable insights into how these techniques can be used to enhance financial analysis and modeling.
Business Analyst
Business Analyst
Business Analysts use data and analysis to understand business needs and recommend solutions. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Business Analysts who want to gain experience in data analysis and manipulation techniques. By learning how to handle and analyze data using Tensorflow, Business Analysts can enhance their ability to identify trends, make informed decisions, and drive business outcomes.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to provide insights and inform decision-making. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Statisticians who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Statisticians can enhance their ability to draw meaningful conclusions and communicate their findings effectively.
Research Scientist
Research Scientist
Research Scientists conduct scientific research to advance knowledge and develop new technologies. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Research Scientists in fields related to data analysis or machine learning. The course's focus on data handling and manipulation techniques using Tensorflow can provide valuable insights into how these techniques can be used to conduct research and develop innovative solutions.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Data Engineers who want to gain experience in data handling and manipulation techniques using Tensorflow. By learning how to work with data, prepare it for analysis, and manage data pipelines, Data Engineers can enhance their ability to support data-driven decision-making.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers conduct research to advance the field of machine learning and develop new algorithms and techniques. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Machine Learning Researchers who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Machine Learning Researchers can enhance their ability to conduct research and develop innovative solutions.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Software Developers who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Software Developers can enhance their ability to build data-driven applications and features.
Data Science Manager
Data Science Manager
Data Science Managers lead and manage teams of data scientists and analysts, providing strategic direction and ensuring successful project outcomes. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Data Science Managers who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Data Science Managers can enhance their ability to lead and manage data science teams effectively.
Product Manager
Product Manager
Product Managers lead the development and management of products, ensuring that they meet customer needs and business objectives. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Product Managers who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Product Managers can enhance their ability to understand customer needs, make informed decisions, and drive product development.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations and provide insights to clients. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Financial Analysts who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Financial Analysts can enhance their ability to conduct financial analysis and make informed investment recommendations.
Consultant
Consultant
Consultants provide advice and guidance to clients on a variety of business issues. The "MNIST Fashion Datensatz mit Tensorflow" course may be helpful for Consultants who want to gain experience in data analysis and manipulation techniques using Tensorflow. By learning how to handle and analyze data using Tensorflow, Consultants can enhance their ability to provide data-driven insights and recommendations to their clients.
For more career information including salaries, visit:
OpenCourser.com/course/e432a1/mnist
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
MNIST Fashion Datensatz mit Tensorflow.
Dieses Buch bietet einen umfassenden Überblick über maschinelles Lernen mit Fokus auf praktische Anwendungen. Es behandelt die Konzepte, Werkzeuge und Techniken, die zum Erstellen intelligenter Systeme erforderlich sind.
Dieses Buch konzentriert sich speziell auf Deep Learning und bietet eine praktische Einführung in die Verwendung von TensorFlow. Es ist eine wertvolle Ressource für diejenigen, die ihr Wissen über Deep Learning vertiefen möchten.
Dieses Buch ist eine wertvolle Ressource für R-Benutzer, die Deep Learning erlernen möchten. Es bietet eine umfassende Einführung in die Verwendung von Deep Learning-Techniken mit R.
Dieses Buch bietet eine visuelle Darstellung von Deep Learning-Konzepten. Es ist eine gute Wahl für visuelle Lerner, die die Funktionsweise von Deep Learning-Modellen besser verstehen möchten.
Dieses Buch bietet eine Einführung in die Datenanalyse mit Pandas. Es ist eine hilfreiche Ressource für diejenigen, die ihre Fähigkeiten in der Datenmanipulation und -analyse verbessern möchten.
Dieses Buch bietet einen umfassenden Überblick über Data Science. Es ist eine wertvolle Ressource für diejenigen, die ein grundlegendes Verständnis der verschiedenen Aspekte der Data Science erlangen möchten.
Dieses Buch ist eine praktische Einführung in das maschinelle Lernen. Es bietet eine Sammlung von Beispielen und Fallstudien, die zeigen, wie maschinelle Lerntechniken in verschiedenen Bereichen eingesetzt werden können.
Dieses Buch konzentriert sich auf die Verwendung von Keras für Deep Learning-Anwendungen. Es bietet eine umfassende Anleitung zur Implementierung verschiedener Deep Learning-Modelle mit Keras.
Dieses Buch bietet eine gründliche Einführung in Python für die Datenanalyse. Es ist eine wertvolle Ressource für diejenigen, die ihre Python-Kenntnisse verbessern und diese für die Datenanalyse anwenden möchten.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/e432a1/mnist
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Effort
1 Stunde
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Jousef Murad
Language
Deutsch
Good to know
Der Kurs richtet sich an diejenigen, die an maschinellem Lernen interessiert sind und ihre Kenntnisse in diesem Bereich vertiefen möchten
Der Kurs wird von Jousef Murad unterrichtet, einem erfahrenen Fachmann im Bereich des maschinellen Lernens
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