Deep Learning Plunge into Deep Learning

Requirements

Here are some examples of mathematics from high schools
Calculus and basic linear algebra

Description

Are you interested in Machine Engineering? Learning And Deep Learning? You should take this course!

This course is easy to understand and very simple.

You might have seen lots of  buzz on deep learning and you want to figure out where to start and explore.

This course was created for you!

When the basics are strong, it is possible to do more with less effort.

This course focuses on building complicated things from the very basics.

These are the topics I will be covering in this course

Session 1: Introductory material Deep Learning, its significance and applications.

Session 2 –  Introduces the fundamental building block of deep learning

Session 3: Logistic Regression and Activation Functions. Perceptron, One hot Encoding. XOR problem. Multi-Layer Perceptron models.

Session 4- Training Neural networks: Cross Entropy and Loss Function. Non-linear models, Feed Forward, Backward propagation. Overfitting problem. Early stopping. Regularization. Drop out. Vanishing Gradient problem.

Session 5 – Convolution Neural Networks:  Feature Extraction, Convolution Layer, Pooling Layer, Relu, Flattening and Deep Convolution Neural Networks.

Get your instant download Deep Learning Plunge into Deep Learning
Session 6 – Sequence Models: Recurrent Neural networks, LSTMs

Are there prerequisites or course requirements?

Some high school mathematics.

This course is designed for the following:

Machines are for everybody Learning And Deep Learning

High school mathematicians who are ready to learn and want to get started in math Deep Learning

Intermediate level people who are familiar with the basics of machine-learning and who wish to explore more advanced topics such as deep learning.

All college students who wish to pursue a career in Data Science

Anyone who is a data analyst and wants to learn Machine Learning And Deep Learning

Anyone who is unhappy with their current job and wants to be a Data Scientist

Anyone who wants to add value to their company by using powerful tools Learning Tools

The principles of building a foundation are the cornerstones of Deep Learning Learn the latest trends

This course is designed for the following:

Machines are for everybody Learning And Deep Learning
Students with high-school mathematics knowledge and who wish to learn more Deep Learning
Intermediate level people who are familiar with the basics of machine-learning and who wish to explore more advanced topics such as deep learning.
All college students who wish to pursue a career in Data Science
Anyone who is a data analyst and wants to learn Machine Learning And Deep Learning
All people who don’t feel satisfied at their jobs and want to become Data Scientists.
Anyone who wants to add value to their company by using powerful tools Learning tools.
The principles of building a foundation are the cornerstones of Deep Learning Learn the latest trends