Deep Learning with Tensorflow and Angular 2!

Learn the Fundamentals on Web development and Machine Learning with Angular 2 and Tensorflow!
4.31 (8 reviews)
Udemy
platform
English
language
Data Science
category
Deep Learning with Tensorflow and Angular 2!
215
students
99 hours
content
Nov 2018
last update
$29.99
regular price

Why take this course?

🌐 Dive into the World of Deep Learning with TensorFlow & Angular 2! 🤖💻

Course Title: Deep Learning with Tensorflow and Angular 2!

Course Headline: Learn the Fundamentals of Web Development and Machine Learning with Angular 2 and Tensorflow!

🚀 Ready to revolutionize your coding skills? This course is a game-changer for anyone passionate about web development and machine learning! 🎓

Why Take This Course?

  • Comprehensive Curriculum: Learn the basics, graduate to more complex models, and build an impressive portfolio of apps driven by machine learning.
  • Cutting-Edge Tools & Technologies: Master TensorFlow for robust machine learning models, PyCharm for Python scripting, Android Studio, and more.
  • Skill Enhancement: Boost your career with valuable knowledge in Angular 2, a powerful JavaScript framework that simplifies web app development.
  • Project-Based Approach: Learn practical skills that are immediately employable through hands-on projects. Say goodbye to theoretical knowledge and hello to real-world applications!

What You'll Learn with TensorFlow:

  • Understand the core concepts of TensorFlow, a leading machine learning framework.
  • Gain the ability to build, train, test, and deploy machine learning models effortlessly.
  • Explore the world of Python programming within PyCharm, and understand its role in machine learning.
  • Utilize Android Studio for mobile app development with machine learning capabilities.

Discover the Power of Angular 2:

  • Grasp the fundamentals of JavaScript and the importance of frameworks in web development.
  • Learn to leverage Angular.js 2's powerful features to create responsive, dynamic web applications.
  • Understand the nuances of web programming and enhance your skill set with the most relevant technologies in the industry.

Bonus Content:

  • Exclusive bonus courses on related topics such as C# and Java are included in this comprehensive package.

Course Features:

  • Engaging Content: Learn through a mix of video tutorials, quizzes, and hands-on coding exercises.
  • Community Support: Join a vibrant community of learners and experts who are all on the same journey towards mastering deep learning and Angular 2.
  • Expert Guidance: Receive personalized feedback from experienced instructors who are leaders in their respective fields.

Enrollment Benefits:

  • Lifetime Access: Revisit course materials at any time to reinforce your knowledge or catch up on what you missed.
  • Flexible Learning: Study at your own pace, from the comfort of your home or on the go.
  • Career Advancement: Equip yourself with skills that are in high demand and open doors to new job opportunities.

Enroll Now & Transform Your Future! 🚀

Don't wait! Seize this opportunity to merge the exciting worlds of web development and machine learning into a career-defining skill set. With TensorFlow and Angular 2, you'll not only learn but also create. Sign up today and embark on a journey that will take your coding abilities to the next level! 🎈

Join us and become a part of the Mammoth community, where learning is limitless and opportunities are boundless! Enroll in "Deep Learning with Tensorflow and Angular 2" now! 📚🚀👨‍💻👩‍💻

Course Gallery

Deep Learning with Tensorflow and Angular 2! – Screenshot 1
Screenshot 1Deep Learning with Tensorflow and Angular 2!
Deep Learning with Tensorflow and Angular 2! – Screenshot 2
Screenshot 2Deep Learning with Tensorflow and Angular 2!
Deep Learning with Tensorflow and Angular 2! – Screenshot 3
Screenshot 3Deep Learning with Tensorflow and Angular 2!
Deep Learning with Tensorflow and Angular 2! – Screenshot 4
Screenshot 4Deep Learning with Tensorflow and Angular 2!

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2013346
udemy ID
07/11/2018
course created date
19/11/2019
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