Starting from the basics, you’ll understand how neural networks learn, delve into backpropagation, and explore the mathematical principles behind them. You’ll even code a neural network from scratch before building one using TensorFlow. Next, we’ll tackle Convolutional Neural Networks, vital for computer vision, applying this knowledge to an image recognition project. Then, we’ll explore sequence models and Recurrent Neural Networks, leading to a hands-on project in natural language processing. Elevate your Deep Learning skills with us and unlock the potential of AI perception.
We will begin by understanding neural networks and how they learn. We’ll discuss back propagation and some of the math behind neural networks. We’ll then code a neural network from scratch, for a fuller understanding, before coding one in TensorFlow.With this foundation, we’ll then delve intoConvolutional Neural Networks which are used largely for computer vision. We’ll use this understanding to do an image recognition project.Next, we’llturn to understanding sequence models and Recurrent Neural Networks. This will lead us into doing a project on natural language processing.
BDT5A / 3 Days
After this course, you will be able to:
Yes (Digital format)
