Getting Started with Java Deep Learning

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Getting Started with Java Deep Learning 1 Installation and Setup
  • Building NN Using GPU.mp4 (9.9 MB)
  • Installing on Windows.mp4 (39.7 MB)
  • Quick Start.mp4 (9.5 MB)
  • The Course Overview.mp4 (20.6 MB)
2 Neural Networks
  • Classification and Clustering.mp4 (37.0 MB)
  • Logistic Regression.mp4 (17.6 MB)
  • Multilinear Regression.mp4 (15.3 MB)
  • Softmax Function.mp4 (10.3 MB)
3 Implementing Neural Nets
  • Feed-Forward Neural Networks.mp4 (9.5 MB)
  • Gradient Descent.mp4 (15.8 MB)
  • Multilayer Perceptron.mp4 (29.0 MB)
  • Recurrent Neural Networks.mp4 (22.8 MB)
4 Deeper Architectures
  • Convolutional Neural Networks.mp4 (26.8 MB)
  • Denoising Autoencoders.mp4 (51.6 MB)
  • Long Short Term Memory Units.mp4 (15.7 MB)
  • Restricted Boltzmann Machine.mp4 (45.0 MB)
5 Tuning
  • Early Stopping.mp4 (15.2 MB)
  • Fixing and Selecting Parameters.mp4 (8.4 MB)
  • Hyper-Parameter Space.mp4 (9.0 MB)
  • Testing and Evaluating.mp4 (6.0 MB)
  • Torrent Downloaded From ExtraTorrent.cc.txt (0.3 KB)
  • Torrent Downloaded from worldwidetorrents.eu.txt (0.0 KB)

Description

Getting Started with Java Deep Learning



Details:



Getting Started with Java Deep Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 414 MB
Genre: eLearning | Language: English


AI and deep learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. It is the technology behind self-driven cars, intelligent personal assistant computers, and decision support systems. Deep learning algorithms are being used across a broad range of industries. As the fundamental driver of AI, being able to tackle deep learning with Java is going to be a vital and valuable skill, not only within the tech world, but also for the wider global economy that depends upon knowledge and insight for growth and success.

You will learn how to install the environment, where Git is used as version control, Eclipse or IntelliJ as an IDE, and mostly Gradle with a little bit of Maven as a build tool. You will learn how to use the DL4J and apply deep learning to a range of real-world use cases. You will then be introduced to Neural networks and later you will learn how to implement them. You will also be given an insight about various deep learning algorithms. You will then be trained to tune Apache Spark.

By the end of the video course, you'll be ready to tackle deep learning with Java. Wherever you've come from-whether you're a data scientist or Java developer-you will become a part of the deep learning revolution!

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Getting Started with Java Deep Learning


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414.6 MB
seeders:2
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Getting Started with Java Deep Learning


Torrent hash: 77F10FD636F9D658613FCD8D8B0AFE8E86950DC7