Below is the list of different topics covered in Deep Learning:
- Introduction to Deep Learning
- Artificial Neural Network vs Biological Neural Network
- Activation Functions
- Types of Activation functions
- Artificial Neural Network (ANN) model
- Complex ANN model
- Forward ANN model
- Backward ANN model
- Python project of ANN model
- Convolutional Neural Network (CNN) model
- Filters or Kernels in CNN model
- Stride Technique
- Padding Technique
- Pooling Technique
- Flatten procedure
- Python project of a CNN model
- Recurrent Neural Network (RNN) model
- Operation of RNN model
- One-one RNN model
- One-many RNN model
- Many-many RNN model
- Many-one RNN model
Who this course is for:
- Beginner of a Deep Learning of artificial intelligence who wants to learn from scratch
Can I download Deep Learning for Beginner (AI) – Data Science course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Deep Learning for Beginner (AI) – Data Science course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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