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Course Info & Coupon Details
Course name: Zero to Deep Learning: Mastering Keras
Course instructor: Jose Portilla (Data Scientist) and Francesco Mosconi (Data Science consultant and trainer)
Description Course: Understand and build Deep Learning models for images, text, sound and more using Python and Keras
Online course: 117 lectures, Intermediate Level
Video length: 9 hours
Categories: Data & Analytics Courses, Data Science, Python, Deep Learning
Students & Ratings: As of May 13, 2017, more than 775 students enrolled and have over 26 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
In this course, Jose Portilla & Francesco Mosconi teaches you to understand and build Deep Learning models for images, text, sound and more using Python and Keras. I’m so confident that you’ll enjoy what you learn “Zero to Deep Learning: Mastering Keras“.
Brief Course Curriculum and Learning Objectives
The online course “Zero to Deep Learning: Mastering Keras” have been developed by Jose Portilla is a leading Data Scientist expert, he experiences in teaching data science to help other people learn the power of the Python programming language and Data Analysis. Also, Jose is the author of Bestselling in Python and SQL courses on Udemy with over 185.000 students from all over the world. Through over 70 lectures, approximately 15.5 hours of video content will provide a complete introduction to Deep Learning, understand and apply Deep Learning techniques to a variety of problems. Active and helpful community, access to student discussion forum and direct access to your instructors, you can get live help, interact with the community. After successfully completing this course, students will be able to:
- You will be able to describe what Deep Learning is in a simple yet accurate way
- You will be able to distinguish which practical applications can benefit from deep learning
- You will be able to explain how deep learning can be used to build predictive models
- You will be able to look at the internals of a deep learning model without intimidation and with the ability to tweak its parameters
- You will be able to install and use Python and Keras to build deep learning models
- You will be able to apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data.
- You will be able to estimate training costs for large models
- You will be able to build, train and usefully connected, convolutional and recurrent neural networks
- You will be able to re-use pre-trained models to shortcut training time and cost (transfer learning)
- You will be able to train and run models in the cloud using a GPU
Conclusion and Recommendation
This course is a great way to understand and build Deep Learning models for images, text, sound and more using Python and Keras. If you want to get a better understanding of data science and about the Deep Learning buzz, or want to develop a strong foundational knowledge of deep learning, this course is absolutely awesome. Take this course now and find out 😀
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