Free Udemy Courses 2020:-
Neural Networks in Python: Deep Learning for Beginners
Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python
- Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameStudents will need to install Python and Anaconda software but we have a separate lecture to help you install the same
You’re looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right?
You’ve found the right Neural Networks course!
After completing this course you will be able to:
- Identify the business problem which can be solved using Neural network Models.
- Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
- Create Neural network models in Python using Keras and Tensorflow libraries and analyze their results.
- Confidently practice, discuss and understand Deep Learning concepts
Who this course is for:
- People pursuing a career in data science
- Working Professionals beginning their Neural Network journey
- Statisticians needing more practical experience
- Anyone curious to master ANN from Beginner level in short span of time
What you’ll learn
- Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning
- Understand the business scenarios where Artificial Neural Networks (ANN) is applicable
- Building a Artificial Neural Networks (ANN) in Python
- Use Artificial Neural Networks (ANN) to make predictions
This course includes
- 9 hours on-demand video
- 3 articles
- 2 downloadable resources
- 1 Practice Test
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Created by Start-Tech Academy
How to Enroll For This Course !
1. Sign Up on Udemy.com
2. Enroll Here : Neural Networks in Python: Deep Learning for Beginners
3. Apply Coupon Code:JULY2BGD
Important Note: Free Course coupon may expire soon.