Coursera Project Network: Understanding Deepfakes with Keras


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Coursera Project Network: Understanding Deepfakes with Keras

Category:Tutorial

US$9.99

  • Learn to implement DCGAN and generate realistic synthesized images. This -hour long project-based course will teach you how to implement DCGAN (Deep Convolutional Generative Adversarial Network) and train the network to generate realistic looking synthesized images.

  • Discover the details of how a DCGAN is structured and trained. We will go through the details of how a DCGAN is structured and trained, and how it can be used to generate synthetic images similar to hand-written digit 0 from the MNIST dataset.

  • Get hands-on experience with Python programming and deep learning. This course is a practical, project-based course that will give you hands-on experience with Python programming and deep learning. You will need to have a theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent, but we will focus on the practical aspect of implementing and training DCGAN.

  • Access pre-configured cloud desktops with all the software and data you need. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning.

  • Get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. This will allow you to start working on the project right away without having to install any software or configure your environment.

  • Access to instructions videos and support. You will have access to instructions videos and support throughout the course. This will help you if you get stuck or have any questions.

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