Description
This course provides you to be able to build Deep Neural Networks models for different business domains with one of the most common machine learning library TensorFlow provided by Google AI team. The both concept of deep learning and its applications will be mentioned in this course. Also, we will focus on Keras.
We will also focus on the advanced topics in this lecture such as transfer learning, autoencoders, face recognition (including those models: VGG-Face, Google FaceNet, OpenFace and Facebook DeepFace).
This course appeals to ones who interested in Machine Learning, Data Science and AI. Also, you don't have to be attend any ML course before.
Información sobre el Instructor
3.91 Calificación
6540 Estudiantes
6 Cursos
Sefik Ilkin Serengil
Software Engineer
Serengil received his MSc in Computer Science from Galatasaray University in 2011.
He has been working as a software developer for a fintech company since 2010. Currently, he is a member of AI and Machine Learning team as a Data Scientist in this company.
His current research interests are Machine Learning, particularly applications of Deep Learning and Cryptography in particular Elliptic Curve cryptosystems.
Serengil contributed many open source projects as well. Repositories he pushed to GitHub got hundreds of stars and forks, and thousands of installations as well.
Student feedback
Reviews
Anbazhagan Jayaraman
16-04-2021
Learnt about the gates how those getting reflect in the machine learning algorithms.