Today is the launch of the second installment of the three-part program Creative Applications of Deep Learning With TensorFlow. The course is taught through Kadenze Academy by artist and researcher Dr. Parag Mital, Director of Machine Intelligence at Kadenze.

This 4-session course will build on knowledge introduced in the previous course, providing students with more exposure to advanced concepts in deep learning. Subjects explored in the course include building environments via cloud computing, handwriting synthesis, and translation using Generative Adversarial Networks.

Since the launch of the first TensorFlow course, Dr. Mital has received praise and recognition for its engaging and thorough content (check out reviews here), and for his activity on Reddit, GitHub, and Twitter, making the course more accessible and giving TensorFlow learners more ways to give and receive feedback.

Students who complete this course will be able to apply their knowledge of creative techniques in TensorFlow to create production environments, as well as operate and monitor pre-programmed models through the TensorBoard interface. By the end of the course, students will have developed proficiency in a variety of deep learning applications, such as mixture density modeling and image-to-image translation.

As a program-exclusive course, Creative Applications of Deep Learning With TensorFlow II is only available to Kadenze Premium members who have purchased the Program. But if you’re interested, you can enroll in the self-paced first course, Creative Applications of Deep Learning With TensorFlow I, and even audit for free.

Check out CADL II below:

Creative Applications of Deep Learning With TensorFlow II

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