Neural Networks & TensorfFlow Crash Course
About this course
This crash course offers a comprehensive introduction to neural networks and their implementation using TensorFlow. You will learn about the fundamental concepts of neurons, network architecture, weights and biases, and how to train networks effectively. Through practical examples, including training a neural network to control a basic snake game, you will grasp the essential mechanics behind neural networks and their applications in machine learning.
What you should already know
Basic knowledge of Python programming and an interest in machine learning concepts are essential before taking this course.
What you will learn
By the end of this course, learners can expect to design and implement simple neural networks in TensorFlow, understand the underlying principles of how they function, and apply this knowledge to solve practical problems.