Deep Learning Plunge into Deep Learning – Muni Kumar Gopu V R

Salepage link: At HERE. Archive:

What you’ll learn

• Understand the intuition behind Artificial Neural Networks
• Build Deep Learning Models
• Convolution Neural Networks
• Sequence Models

Requirements

• Just some high school mathematics

• Basic linear algebra and calculus

Description

• Interested in the field of Machine Learning and Deep Learning? Then this course is for you!

• This course is designed in a very simple and easily understandable content.
• You might have seen lots of buzz on deep learning and you want to figure out where to start and explore.
• This course is designed exactly for people like you!
• If basics are strong, we can do bigger things with ease.
• My focus in this course is to build complicated things starting from very basics

In this course, I will cover the following things

• Session 1 – Introductory material on Deep learning, its applications and significance.
• Session 2 – Introduces the fundamental building block of deep learning
• Session 3 – Logistic Regression, Activation Functions, Perceptron, One Hot Encoding, XOR problem and Multi-Layer Perceptron models
• Session 4 – Training of Neural Networks: Cross Entropy, Loss Function, Gradient descent Algorithm, Non-Linear Models, Feed Forward, Backward propagation, Overfitting problem, Early stopping, Regularization, drop out and Vanishing Gradient problem.
• Session 5 – Convolution Neural Networks: Feature Extraction, Convolution Layer, Pooling Layer, Relu, Flattening and Deep Convolution Neural Networks.
• Session 6 – Sequence Models: Recurrent Neural Networks, LSTMs
• Are there any course requirements or prerequisites?
• Just some high school mathematics level.

Who this course is for:

• Anyone interested in Machine Learning and Deep Learning
• Students who have high school knowledge in mathematics and who want to start learning Deep Learning
• Any intermediate level people who know the basics of machine learning, who want to learn more advanced topics like deep learning
• Any students in college who want to start a career in Data Science
• Any data analysts who want to level up in Machine Learning and Deep Learning
• Any people who are not satisfied with their job and who want to become a Data Scientist
• Any people who want to create added value to their business by using powerful Learning tools
• Build a foundation on the principles of Deep Learning to understand the latest trends

Who this course is for:

• Anyone interested in Machine Learning and Deep Learning
• Students who have high school knowledge in mathematics and who want to start learning Deep Learning
• Any intermediate level people who know the basics of machine learning, who want to learn more advanced topics like deep learning
• Any students in college who want to start a career in Data Science
• Any data analysts who want to level up in Machine Learning and Deep Learning
• Any people who are not satisfied with their job and who want to become a Data Scientist.
• Any people who want to create added value to their business by using powerful Learning tools.
• Build a foundation on the principles of Deep Learning to understand the latest trends