Getting Started with Java Deep Learning
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Files
| Building NN Using GPU.mp4 | 9.9 MB | ||
| Classification and Clustering.mp4 | 37 MB | ||
| Convolutional Neural Networks.mp4 | 26.8 MB | ||
| Denoising Autoencoders.mp4 | 51.6 MB | ||
| Early Stopping.mp4 | 15.2 MB | ||
| Feed-Forward Neural Networks.mp4 | 9.5 MB | ||
| Fixing and Selecting Parameters.mp4 | 8.4 MB | ||
| Gradient Descent.mp4 | 15.8 MB | ||
| Hyper-Parameter Space.mp4 | 9 MB | ||
| Installing on Windows.mp4 | 39.7 MB | ||
| Logistic Regression.mp4 | 17.6 MB | ||
| Long Short Term Memory Units.mp4 | 15.7 MB | ||
| Multilayer Perceptron.mp4 | 29 MB | ||
| Multilinear Regression.mp4 | 15.3 MB | ||
| Quick Start.mp4 | 9.5 MB | ||
| Recurrent Neural Networks.mp4 | 22.8 MB | ||
| Restricted Boltzmann Machine.mp4 | 45 MB | ||
| Softmax Function.mp4 | 10.3 MB | ||
| Testing and Evaluating.mp4 | 6 MB | ||
| The Course Overview.mp4 | 20.6 MB | ||
| Torrent Downloaded From ExtraTorrent.cc.txt | 307.2 B | ||
| Torrent Downloaded from worldwidetorrents.eu.txt | 0 B | ||
| ▲ 22 total files | |||
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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