Creative Applications of Deep Learning with TensorFlow III

Overview

Explore the frontier of deep learning with our comprehensive course, "Creative Applications of Deep Learning with TensorFlow III". Dive deeper into the world of deep learning as we extend our expertise to cutting-edge techniques in audio, image, and text modeling.

Discover the efficiency of dilated convolutions through WaveNet for modeling long-term temporal dependencies. Gain unique insights into deep networks and the representations they learn by inspecting them with a deep generator network.

Shift focus to the exhilarating field of Reinforcement Learning, embarking on a brief exploration of this fascinating topic alongside toolkits from pioneering organizations such as OpenAI, DeepMind, and Microsoft.

The course culminates with a collaborative session with Google Brain's Magenta Lab, focusing on Music and Art Generation. Here, participants will use RNNs and Reinforcement Learning to delve into generative and improvised music creation, utilizing Magenta's innovative libraries.

Students praise the course for its in-depth exploration of audio synthesis, music generation, and natural language processing, applying TensorFlow skills acquired in previous courses.

With an open-ended format, instructors Parag and the Google Magenta team provide foundational overviews before encouraging students to further investigate each area. This course comes highly recommended for those eager to delve into the practical applications of deep learning.

Offered by Kadenze, this course falls under the categories of Artificial Intelligence and TensorFlow Courses, designed for those looking to enhance their skills in these revolutionary technologies.

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Taught by

Parag Mital

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Subjects