Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.
Deep Learning for BusinessUniversidad Yonsei
Acerca de este Curso
Habilidades que obtendrás
- 5 stars60,97 %
- 4 stars26,69 %
- 3 stars6,95 %
- 2 stars3,31 %
- 1 star2,05 %
Principales reseñas sobre DEEP LEARNING FOR BUSINESS
Even though I do not have the background of Computer Engineering or Science I was able to understand from the professor and the final project truly was able to explain everything for me.
This course is great, easy understanding and full of knowledge, I'll
definitely recommend it to my friends
Fun course and quick overview of Neural Networks and Deep Learning history and environments. Also includes popular applications of Deep Learning.
I learnt so much from this course. It was great and the teacher explained evrything in a great way.
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.