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Artificial Intelligence III - Deep Learning in Java (Udemy.com)

Deep Learning Fundamentals, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) + LSTM, GRUs

Created by: Holczer Balazs

Last updated December 2024

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What you will learn

  • Understands deep learning fundamentals
  • Understand convolutional neural networks
  • Implement convolutional neural networks with DL4J library in Java

How it compares

Against the other 205 rated Udemy courses in Artificial Intelligence on CourseDuck:

  • Rating4.5 out of 5higher than 58% of them
  • Reviews269#129 of 206 by number of reviews
  • Length8.1 hourslonger than 65% of them
  • Last updatedDecember 2024earlier than 53% of them

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Quality Score

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Overall Score : 90 / 100

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Course Description

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!Who this course is for:
  • Anyone who wants to understand deep learning and convolutional neural networks in Java

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Instructor Details

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Hi!
My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model.
Take a look at my website if you are interested in these topics!

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Reviews

4.5

269 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Rich Helton

Great Course

By Edward Waudby

Good, clear and concise. Certainly fixed up a couple of holes in my understanding already

By Michael C. Kunkel

I have taken numerous courses offered by Holczer.

Every course I learn more than I would expect.

His lectures are unique and have an idiosyncratic tone to it.

Highly recommend this instructor to anyone willing to learn.

By Avishai Levy Poorun

interesting for students.I would suggest to lay emphasis on preparing a portfolio to help students create their brand in DL, AI and machine learning. Industrial application also can make this course get more value and recognized by the industry. But nice work from the instructor

By Amer Alsabbagh

Explain the vanishing gradient more

By hamurabi delgado

I need more lectures to rate because at this point i just installed software

By Temitayo Joseph

Satisfactory

By Karl trout

Took a little while to get use to the accent.

By Howard

Great info on a very complex subject. Well done course!

By Inspiros Tran

I need more courses like this. You have not mentioned complex and novel structures. Give me Artificial Intelligence V, VI, VII, VIII, ...

4 is definitely not enough to build Google AlphaGo.

By Paolo Cromerazz

In realtà non sapevo nulla sull'argomento. Trovo molto interessante.

By Anantharamaiah Prabhakar

The teacher is highly knowledgeable, and puts across concepts very clearly !

Showing 12 of 15 reviews