The TensorFlow for Beginners course is designed to provide a solid foundation in TensorFlow and machine learning.
TensorFlow for Beginners
The TensorFlow for Beginners course is designed to provide a solid foundation in TensorFlow and machine learning. TensorFlow is one of the most widely used deep learning frameworks, enabling developers, data scientists, and AI enthusiasts to build powerful neural networks and AI models.
This course takes a hands-on approach to learning, guiding you through key TensorFlow concepts, data structures, and neural network building. By the end of this course, you will have the practical knowledge to build, train, and deploy machine learning models using TensorFlow. Whether you are looking to start a career in AI or enhance your existing skills, this TensorFlow beginner tutorial is the perfect starting point.
This course is ideal for beginners looking to get started with TensorFlow and machine learning, as well as data science and AI enthusiasts who want a hands-on introduction to deep learning. It is also suitable for software developers and engineers interested in integrating AI models into applications, as well as students and researchers exploring AI and neural network concepts. While basic programming knowledge, preferably in Python, is recommended, no prior experience with TensorFlow is required.
Understand the fundamentals of TensorFlow for Beginners.
Set up TensorFlow and build your first machine learning model.
Work with TensorFlow data structures for efficient model training.
Construct neural networks and optimize their performance.
Utilize the Keras API to simplify deep learning model development.
Train and fine-tune models for better accuracy.
Explore advanced neural network techniques for complex AI tasks.
Deploy trained TensorFlow models for real-world applications.
-
Explore the fundamentals of machine learning and deep learning, understand TensorFlow’s ecosystem, and learn how to set up TensorFlow for AI model development.
-
Learn how to install TensorFlow, configure your development environment, and build a simple machine learning model while visualizing its results.
-
Discover the core data structures in TensorFlow, including tensors and their operations, and explore data preprocessing techniques for effective model training.
-
Understand the basics of neural networks, implement dense layers and activation functions, and construct a feedforward neural network using TensorFlow.
-
Explore Keras as a high-level API, learn to use Sequential and Functional APIs, and master model compilation, optimization, and evaluation techniques.
-
Gain insights into loss functions, optimizers, and validation techniques, and learn how to train and fine-tune machine learning models for better accuracy.
-
Explore into advanced techniques, including Convolutional Neural Networks (CNNs) for image processing, Recurrent Neural Networks (RNNs) for sequential data, and transfer learning with pre-trained models.
-
Learn how to save, load, and deploy trained TensorFlow models using TensorFlow Serving, and explore real-world case studies demonstrating AI applications.
Earn a Professional Certificate
Earn a certificate of completion issued by Learn Artificial Intelligence (LAI), recognised for demonstrating personal and professional development.
Mehreen Bibi
TeacherIt helped me in enhancing my AI skills and improved my conflict resolving abilities. Highly recommen...
The course primarily uses Python, which is the most common language for TensorFlow development.
No prior experience in machine learning is required, but familiarity with Python programming will be beneficial.
Yes! The course is structured for self-paced learning, allowing you to progress according to your schedule.
Yes, TensorFlow provides extensive documentation and community support, making it an excellent choice for beginners.
TensorFlow has a learning curve, but this course simplifies it by breaking concepts into manageable lessons with hands-on practice.
While TensorFlow is primarily used with Python, it also supports other languages such as C++, JavaScript, and Swift.
Key Aspects of Course
Boost your CV
Endorsed certificates available upon request
