Watch TensorFlow Tutorial | Deep Learning with TensorFlow | TensorFlow Tutorial for Beginners |Simplilearn Video Tutorial


Tutorial Details & Info

Tutorial Title: TensorFlow Tutorial | Deep Learning with TensorFlow | TensorFlow Tutorial for Beginners |Simplilearn
Instructor / Channel: Simplilearn
Lesson Runtime: 59:28 Minutes
Publish Date: May 17, 2018
Total Students / Views: 35,797 views

Explore this free video tutorial for TensorFlow Tutorial | Deep Learning with TensorFlow | TensorFlow Tutorial for Beginners |Simplilearn instructor Simplilearn. This full video course has a total duration of 59:28 minutes providing step-by-step visual instructions. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=_NMI8peAmNA&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IITK - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=_NMI8peAmNA&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=_NMI8peAmNA&utm_medium=DescriptionFFF&utm_source=Youtube ️️🔥 Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=_NMI8peAmNA&utm_medium=DescriptionFFF&utm_source=Youtube" This TensorFlow tutorial will help you understand what is Deep Learning and it's libraries, why use TensorFlow, what is TensorFlow, how to build a computational graph, programming using elements in TensorFlow, what are Recurrent Neural Networks along with a use case implementation on TensorFlow. TensorFlow is a software library developed by Google for the purposes of conducting machine learning and deep neural network research. In this video, you will learn the fundamentals of TensorFlow concepts, functions and operations required to implement deep learning algorithms and leverage data like never before. Now let's get started in mastering the concept of Deep Learning using TensorFlow. Below topics are explained in this TensorFlow Tutorial: 1. What is Deep Learning? 2. Top Deep Learning libraries? 3. Why use TensorFlow? 4. What is TensorFlow? 5. Building a computational graph 6. Programming elements in TensorFlow 7. Introducing Recurrent Neural Networks 8. Use case implementation of RNN using TensorFlow To learn more about Deep Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the slides here: https://goo.gl/TY2D7H Watch more videos on Deep Learning: https://www.youtube.com/playlist?list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip #DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse ➡️ About Artificial Intelligence Engineer This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions. IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers. ✅ Key Features - Add the IBM Advantage to your Learning - 25 Industry-relevant Projects and Integrated labs - Immersive Learning Experience - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Tools Covered - ChatGPT - Flask - Matplotlib - django - Python - Numpy - Pandas - SciPy - Keras - OpenCV - And Many More… 👉 Learn More At: 🔥🔥

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for TensorFlow Tutorial | Deep Learning with TensorFlow | TensorFlow Tutorial for Beginners |Simplilearn taught by Simplilearn. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for TensorFlow Tutorial | Deep Learning with TensorFlow | TensorFlow Tutorial for Beginners |Simplilearn.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Simplilearn with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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