TensorFlow: Basic to Advanced - 100 Projects in 100 Days
What you'll learn
- Core TensorFlow concepts from setup to model building, enabling them to confidently create machine learning projects.
- Techniques for building CNNs and RNNs for image, language, and sequence data, equipping them to tackle various ML problems.
- Skills to deploy TensorFlow models to production, including scaling with distributed computing and deploying on mobile.
- Practical experience with real-world ML applications, building models for image recognition, sentiment analysis, and more.
Requirements
- Basic programming knowledge, ideally in Python
- Understanding of fundamental math concepts like linear algebra and probability
- Familiarity with machine learning basics is helpful but not required
- A computer with internet access for installing TensorFlow and coding projects
Description
This course offers a comprehensive journey into TensorFlow, guiding learners from the basics to advanced applications of machine learning and deep learning with this powerful open-source framework. Starting with an introduction to machine learning and the unique capabilities of TensorFlow, students will gain foundational knowledge that sets the stage for more complex concepts. The course begins with installation and setup instructions to ensure every student is equipped with the necessary tools and environment for TensorFlow development. Early modules cover the essential building blocks of TensorFlow, including tensors, operations, computational graphs, and sessions. Through these topics, students will understand the core components of TensorFlow and how to utilize them effectively for simple projects and data operations.
As the course progresses, learners dive deeper into neural networks, exploring how to build, train, and optimize basic models. The intermediate section introduces Keras, the user-friendly API for TensorFlow, allowing students to design and train complex models more intuitively. Topics like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) provide hands-on experience with real-world data types, such as images and sequences. The course then transitions to advanced topics, covering essential skills for deploying and scaling models. Students will learn to save, load, and serve TensorFlow models, enabling them to apply their knowledge in production environments. They’ll also explore distributed TensorFlow for scaling applications across multiple devices and TensorFlow Extended (TFX) for building end-to-end machine learning pipelines.
With practical projects and real-world applications woven throughout, students will have the chance to build models for tasks like image classification, sentiment analysis, and time series prediction, solidifying their skills through hands-on practice. By the end of the course, learners will be equipped not only with the technical knowledge but also the practical experience needed to implement, deploy, and manage TensorFlow models in professional environments. This course is ideal for anyone looking to advance their career in data science, machine learning, or artificial intelligence, empowering them with the expertise to tackle complex challenges in today’s data-driven world.
Who this course is for:
- Aspiring Data Scientists and ML Engineers who want to build a solid foundation in TensorFlow for real-world machine learning projects
- Developers and Programmers interested in expanding their skills to include machine learning and neural networks
- Students and Professionals in data science, AI, or related fields, looking to add TensorFlow to their toolkit
- Self-Learners who enjoy hands-on projects and are ready to dive into practical, scalable applications in machine learning
Instructors
- 4.5 Instructor Rating
- 3,652 Reviews
- 197,281 Students
- 65 Courses
Vivian Aranha is an experienced technology professional with a strong academic foundation and a passion for innovation in Artificial Intelligence. He earned his Bachelor’s degree in Information Technology in 2004, followed by a Master’s degree in Computer Science in 2006. Since then, Vivian has accumulated nearly two decades of experience across diverse roles in the tech industry, contributing to cutting-edge projects and technological advancements.
Over the past eight years, Vivian has been deeply involved in the field of Artificial Intelligence, working on impactful AI projects spanning machine learning, deep learning, and intelligent systems. His expertise extends beyond technical implementation, as he has also dedicated significant time to teaching and mentoring peers and aspiring AI professionals. Vivian combines his deep technical knowledge with a talent for simplifying complex concepts, empowering students and professionals to excel in the ever-evolving AI landscape.
With a commitment to continuous learning and knowledge-sharing, Vivian Aranha is not only building intelligent systems but also shaping the next generation of AI innovators.
- 4.5 Instructor Rating
- 3,603 Reviews
- 137,568 Students
- 60 Courses
We are your one-stop shop for all AI training needs. Since 2010, our expert instructors have been delivering top-tier education across cutting-edge technologies. Whether you’re a beginner or looking to advance your skills, our comprehensive training programs are designed to equip you with practical knowledge and real-world experience. From foundational AI concepts to advanced machine learning and deep learning techniques, we cover it all. Join us to gain hands-on expertise, guided by industry veterans committed to your success. Unlock your potential and stay ahead in the evolving world of artificial intelligence with training you can trust and results you can see.