TensorFlow: Basic to Advanced - 100 Projects in 100 Days

Flexible, Scalable, Open-Source Machine Learning Framework(AI)
4.27 (104 reviews)
Udemy
platform
English
language
Data Science
category
instructor
TensorFlow: Basic to Advanced - 100 Projects in 100 Days
21 391
students
6 hours
content
Apr 2025
last update
$44.99
regular price

Why take this course?


Course Title: TensorFlow: Basic to Advanced Training

Headline: Master the Flexible and Scalable World of Machine Learning with TensorFlow! 🚀


Course Description:

Are you ready to embark on a transformative learning adventure with TensorFlow, one of the most popular open-source machine learning frameworks? TensorFlow: Basic to Advanced Training with course instructor Vivian Aranhaca is your gateway to mastering this versatile tool. This course is meticulously designed to guide learners from the fundamental concepts to advanced applications of machine learning and deep learning, ensuring you have a robust understanding of TensorFlow's capabilities and its implementation in real-world scenarios.

Why TensorFlow? 🌟

  • Flexibility: TensorFlow can run on any platform, from desktops to clusters of servers, enabling versatile deployment.
  • Scalability: It's built to scale easily from research prototypes to production systems.
  • Open Source: Accessible and continuously updated by a large community of developers and researchers.

Course Structure Overview:

  1. Getting Started:

    • Installation and setup to prepare your environment for TensorFlow development.
    • Introduction to machine learning: Understand the landscape and what makes TensorFlow stand out.
  2. Core TensorFlow Components:

    • Tensors, operations, computational graphs, and sessions: Gain a solid foundation with these essential TensorFlow elements.
    • Practical examples to help you grasp the concepts with ease.
  3. Neural Networks Fundamentals:

    • Learn to build, train, and optimize basic neural networks.
    • Dive into Keras API: A user-friendly way to construct complex models more intuitively.
  4. Specialized Neural Network Architectures:

    • Explore the intricacies of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
    • Work with real-world datasets, including image classification and sentiment analysis.
  5. Advanced TensorFlow Applications:

    • Deploying models: Learn how to save, load, and serve TensorFlow models for production use.
    • Scaling applications: Discover distributed TensorFlow for running complex neural network tasks on multiple CPUs or GPUs.
    • TensorFlow Extended (TFX): Understand the framework for designing, building, and deploying end-to-end machine learning pipelines.
  6. Hands-On Projects:

    • Real-world applications: Apply your skills to projects that matter.
    • Image classification, sentiment analysis, time series prediction: Tackle diverse data types with TensorFlow.

What You Will Learn:

  • The complete spectrum of TensorFlow capabilities from basic to advanced levels.
  • How to deploy and scale TensorFlow models in production environments.
  • Practical experience through hands-on projects that reflect real-world applications.
  • The skills needed to advance your career in data science, machine learning, or AI.

Who is this course for? ⁉️ This course is perfect for:

  • Aspiring Data Scientists and Machine Learning Engineers.
  • Software Developers looking to incorporate AI into their projects.
  • Students and Researchers who wish to explore machine learning in depth.
  • Professionals aiming to enhance their career prospects in the field of AI and data science.

By the end of this course, you will:

  • Have a comprehensive understanding of TensorFlow and its applications in various domains.
  • Be equipped with the technical knowledge to apply machine learning models in real-world scenarios.
  • Gain practical experience that will set you apart in the competitive field of AI and machine learning.

Join Vivian Aranhaca on this enlightening journey through the world of TensorFlow, where your potential as a machine learning professional is limitless! 🌊✨


Key Takeaways:

  • Flexible Learning: Tailored for all skill levels, from beginners to seasoned professionals.
  • Real-World Skills: Practical projects that mirror real-world applications of TensorFlow.
  • Community Support: Learn alongside a community of fellow enthusiasts and experts.
  • Career Advancement: Equip yourself with in-demand skills that are essential for the modern data science role.

Enroll now to unlock your potential and become a TensorFlow expert! 🎓🚀

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6269243
udemy ID
04/11/2024
course created date
04/11/2024
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