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.
What will I need?
- Some math (derivatives and matrix operations)
- Java basics (classes, objects etc.)
Is this course right for me?
- Anyone who wants to understand deep learning and convolutional neural networks in Java
What am I going to learn?
- Understands deep learning fundamentals
- Understand convolutional neural networks
- Implement convolutional neural networks with DL4J library in Java
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:
multi-layer neural networks and deep learning theory
deep neural networks implementation
Convolutional Neural Networks (CNNs) theory
using convolutional neural networks (CNNs) for optical character recognition (OCR)
emoji detector application from scratch
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!
Free Download Udemy’s Artificial Intelligence III – Deep Learning in Java