Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 55 Minute(s)
Language
English
Taught by
Sefik Ilkin Serengil
Rating
1 views
Course Overview
Ready to build the future with Deep Neural Networks? Stand on the shoulder of TensorFlow and Keras for Machine Learning.
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.
Course Content
- 9 section(s)
- 23 lecture(s)
- Section 1 Perceptrons
- Section 2 Introduction
- Section 3 Reusability in TensorFlow
- Section 4 Monitoring and Evaluating
- Section 5 Building regression and time series models
- Section 6 Building Unsupervised Learning Models
- Section 7 Tuning Deep Neural Network Models
- Section 8 Consuming TensorFlow via Keras
- Section 9 Advanced applications
What You’ll Learn
- You will be able to build deep learning models for different business domains in TensorFlow
- You can distinguish classification and regression problems, apply supervised learning, and can develop solutions
- You can also apply segmentation analysis through unsupervised learning and clustering
- You can consume TensorFlow via Keras in easier way.
- Informed about tuning machine learning models to produce more successful results
- Learn how face recognition works
Reviews
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MManoj Kumarsahoo
The course on Tensorflow is very useful and infirmative.I am getting a lot of information from the course.
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AAnbazhagan Jayaraman
Learnt about the gates how those getting reflect in the machine learning algorithms.
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MMuhammad Farrukh Shahid Syed
Overall, the course was good. The content delivered was clear.
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MMuhammet ikbal ELEK
It is a nice and instructive course to start.
