Object Detection Using Tensorflow | TensorFlow Tutorial For Beginners | Deep Learning | Simplilearn
About this course
This course provides an in-depth introduction to deep learning, focusing on neural networks, their implementation in TensorFlow, and the exciting applications of deep learning in object detection. You will learn about the architecture of artificial neural networks, the workings of perceptrons, and how to apply these concepts through practical examples like handwritten number recognition using the MNIST dataset.
What you should already know
Basic programming knowledge in Python and an understanding of machine learning concepts are recommended before taking the course.
What you will learn
By the end of this course, learners will be able to effectively use TensorFlow to build and train neural networks for deep learning applications and understand the underlying principles of how these networks function.