MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 85 lectures (6 hour, 2 mins) | Size: 5.39 GB
Learn about Deep Learning - ANN, CNN, RNN, LSTMs along with Real Time Projects

What you'll learn

Deep Learning
Artificial Neural Network
Convolutional Neural Network
Recurrent Neural Network

Requirements

For taking up this course you need to be enthusiastic and self confident.
You need to have good knowledge of programming and basic mathematical skills.

Description

Are you ready to master Deep Learning skills?

Deep Learning is a technology using which we can solve highly computational problems such as Image Processing, Image Classification, Image Segmentation, Image tagging, sound classification, video analysis etc.

Deep Learning is becoming a buzzword these days, and If you want to learn Deep Learning then It is very Important for you that you should have a proper plan regarding that.

Before Learning Deep Learning you must have learned Machine Learning and must possess good knowledge of Python programming language.

If you want to build super-powerful applications in Deep Learning.

Then, you are at the right place.

This course will provide you with in-depth knowledge on a very hot topic i.e., Deep Learning.

The purpose of this course is to provide you with knowledge of key aspects of Deep Learning without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets.

This course will cover the following topics:-

1. Deep Learning (DL).

2. Artificial Neural Network (ANN).

3. Convolutional Neural Network (CNN).

4. Recurrent Neural Network. (RCN)

This course will take you through the basics to an advanced level in all the mentioned four topics.

After taking this course, you will be confident enough to work independently on any projects on these topics.

There are lots and lots of exercises for you to practice In this Deep Learning Course and also a 5 Bonus Deep Learning Project "Stock Market Prediction", "Fruits Identification System", "Face Expression Recognizer", "Detecting Pneumonia from Chest X-rays", and "Optimizing Crop Production".

In this Optimizing Crop Production, you will learn about Precision Farming using Data Science Technologies such as Clustering Analysis and Classification Analysis. You will be able to Recommend best Crops to Farmers to Increase their Productivity.

In this Detecting Pneumonia from X-rays project, you will learn how to solve Image Classification Tasks using Deep Neural Networks such as ResNet which is a High Level CNN Architectures.

In this Stock Market Prediction project, you will learn to analyze and the Stock Market Prices using Time Series Forecasting, Advanced Deep Learning Models and different Statistical features.

In this Fruits Recognition project, you will learn how to solve a complicated Image Classification Task with Multiple Classes using various Deep Learning Architectures and Compare the Result.

In this Face Expression Recognizer project, you will learn to use Computer Vision Techniques to detect Human Emotions such as Angry, Sad, Happy, Disgust, Fear etc. to build a Facial Emotion Detector.

You will have access to all the resources used in this course.

Who this course is for:

This course is for everyone who wants to master Deep Learning skills.
This course is for students who have already good knowledge of machine learning and have good programming skills.

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