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In this course, we focus on neural networks and deep learning models. We will learn how we can build such networks by mimicking the human brain. We will start by understanding TensorFlow and Keras libraries of Python.
We will focus on the architecture of neural network by exploring on the different kind of layers. We will build simple neural network with TensorFlow and Keras. We will also understand how we can use TensorFlow for computer vision and the most successful algorithm for computer vision, convolutional neural network (CNN), or ConvNets.
In this course, we will also learn to use the neural networks for sequential and time series data using recurrent neural network (RNN). Finally we will learn how the generative models, VAEs and GANs, can be used to solve the problems.
The knowledge of Python and concepts of Machine Learning.
The platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.