Offer ends in:
What you'll get
- 9+ Hours
- 4 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Implement Neural Network Modelling With Keras
- Implement Deep Learning Based Unsupervised Learning With Keras
- Implement Deep Learning Based Supervised Learning With Keras
- Implement Convolution Neural Networks With Keras
Content
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MODULE 1: Essentials Training
Courses No. of Hours Certificates Details Project on Keras - Building a Chatbot 4h 9m ✔ Project On Keras: Sentimental Analysis using RNN 1h 15m ✔ Project on Keras - Image Classification 1h 36m ✔ Project on Keras - Creating An Advanced Face Recognition Computer Vision App 3h 12m ✔
Description
About Keras
This course is your complete guide to practical machine & deep learning using the Keras framework. This means, this course covers the important aspects of Keras if you take this course, you can do away with taking other courses or buying books on Python Keras based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Keras is revolutionizing Deep Learning. By gaining proficiency in Keras you can give your company a competitive edge and boost your career to the next level.
In this comprehensive course, you will learn how to implement various types of neural networks using Keras, with step-by-step guidance and hands-on projects. You don't need to set up anything on your system as everything will be done online. You will be provided with example code and practice problems to reinforce your understanding of the concepts. Throughout the course, you will work on four exciting projects that cover different neural network architectures and datasets. While a theoretical background in deep learning is expected, a basic understanding is sufficient to get started with this course. Join us now and learn how to build and train neural networks using Keras!
Requirements
- Be Able To Operate & Install Software On A Computer
- Prior Exposure To Python based Data Science Will Be Beneficial
- Prior Exposure To Basic Statistical Concepts & Implementation Will be Useful
- Have Prior Exposure To Common Machine Learning Terms such as cross-validation
Target Audience
- People Interested In Learning Python Based Tensorflow and Keras For Data Science Applications
- People With Prior Exposure To Python Programming &/Or Data Science Concepts
- People Interested In Implementing Neural Networks & Deep Learning Models With Keras
Offer ends in:
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