What you'll get
- 27+ Hours
- 10 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Understand deep learning fundamentals in Keras
- Build, train, and evaluate neural network models
- Gain hands-on experience with practical exercises
- Apply a structured approach to execute projects
- Present and communicate results effectively
- Develop a portfolio of deep learning projects
- Master advanced Keras techniques for real-world AI applications
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Deep Learning Tutorials | 1h 34m | ✔ | View Curriculum |
| Comprehensive Deep Learning Training | 11h 17m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Project on Keras: Building a Chatbot | 4h 9m | ✔ | View Curriculum |
| Creating An Advanced Face Recognition Computer Vision App | 3h 12m | ✔ | View Curriculum |
| Project On Keras: Sentimental Analysis using RNN | 1h 15m | ✔ | View Curriculum |
| Project on Keras: Image Classification | 1h 36m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Project on Deep Learning - Artificial Neural Network | 2h 29m | ✔ | View Curriculum |
| Project on Deep Learning - Convolutional Neural Network | 1h 06m | ✔ | View Curriculum |
| Project on Deep Learning: Stock Price Prognostics | 2h 17m | ✔ | View Curriculum |
| Project on Deep Learning: Handwritten Digits Recognition | 1h 02m | ✔ | View Curriculum |
Description
This Keras Deep Learning course guides learners from foundational concepts to advanced techniques, using Keras, a powerful Python-based neural network library. The program covers both theory and practical applications, ensuring that you gain a strong understanding of deep learning principles while applying them to real-world scenarios.
The course begins with the basics of deep learning, providing learners with essential knowledge to grasp more complex concepts in subsequent modules. The course gradually introduces advanced topics and reinforces learning through hands-on exercises, mock queries, and practical examples.
By the end of this course, participants will develop, train, and deploy deep learning models, build a portfolio of projects, and use systematic frameworks to execute tasks and present results. This course is perfect for anyone who wants to master deep learning with Keras and show their skills in building real-world AI solutions.
Sample Certificate
Requirements
-
Basic knowledge of Python programming
-
Basic understanding of linear algebra, calculus, and statistics is helpful
-
Familiarity with machine learning concepts is a plus
-
Access to a computer with internet for hands-on practice.
Target Audience
-
Beginners and professionals interested in deep learning and AI
-
Python developers looking to specialize in neural networks
-
Data scientists and analysts wanting to enhance their machine learning skills
-
Students aiming to build a career in artificial intelligence and deep learning
-
Anyone interested in developing and deploying Keras-based AI models.
