Artificial Intelligence III – Deep Learning in Java

Free Download Udemy Artificial Intelligence III – Deep Learning in Java. With the help of this course you can Deep learning fundamentals, focusing on convolutional neural networks and recurrent neural networks, LTSM, GRUs.

This course was created by . It was rated 4.419211 out of 5 by approx 111 ratings. There are approx 2290 users enrolled with this course, so don’t wait to download yours now. This course also includes 247 mins on-demand video, Full lifetime access, Access on mobile and TV & Certificate of Completion.

This course is about deep learning fundamentals and convolutional neural networks. Convolutional neural networks are one of the most successful deep learning approaches: self-driving cars rely heavily on this algorithm. First you will learn about densly connected neural networks and its problems. The next chapter are about convolutional neural networks: theory as well as implementation in Java with the deeplearning4j library. The last chapters are about recurrent neural networks and the applications!

So you’ll learn about the following topics:

Section #1:

• multi-layer neural networks and deep learning theory

• deep neural networks implementation

Section #2:

• Convolutional Neural Networks (CNNs) theory

• using convolutional neural networks (CNNs) for optical character recognition (OCR)

• emoji detector application from scratch

Section #3:

• recurrent neural networks (RNNs) theory

• using recurrent neural networks (RNNs) with sentiment analysis

These are the topics we’ll consider on a one by one basis. Hope you will like it!