Deep Learning: Concept and Design Simple Network [Hindi]
- Laptop with Spyder/Jupiter or any other application on which python can be run is required.
- Basic knowledge of Python is required.
This course provides a basic understanding of deep learning. Anyone can opt for this course. No prior understanding of deep learning is required.
Now the question is why this course?
This course will not only teach you the basics of deep learning but will also cover the algorithm for building a simple neural network and code it in Python. It also elaborates on the various stages involved in the neural network.
- Anyone who wants to Learn about Deep Learning.
- About Course02:24
- What is Deep Learning?08:55
- What is Machine Learning?09:38
- How Artificial Neural Network Works06:47
- Artificial Neural Network - Hidden Layer05:17
- Basics of Deep Learning1 question
- Activation Function02:45
- Different Activation Functions02:58
- What is forward and backward propagation05:35
- Quiz1 question
- Single Layer Perceptron01:32
- Perceptron: Implement OR gate08:00
- Develop Algorithm to Implement Gates06:38
- Implement Or Gate: Python 107:19
- Implement Or gate: Python 205:25
- Implement Or Gate: Python 307:17
- What is Convolutional Neural network (CNN) ?04:13
- Step 1: Convolution05:42
- Step 2: Maxpooling05:57
- Step 3: Flattening04:14
- Step 4: Full Connection03:33
A total of 13 years of experience. I started my career as a programmer. Apart from programming, I have worked on Cloud & Virtualization technology, DevOps and Machine Learning. Also, I have very good knowledge of software design methodologies, information systems architecture, object oriented design, and software design patterns. Teaching is my passion. I hope you will enjoy my course.