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Mastering Deeplearning4j培训

 
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上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦 【广州分部】:广粮大厦 【西安分部】:协同大厦
最近开课时间(周末班/连续班/晚班):2019年1月26日
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        1、培训过程中,如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
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课程大纲
 

Getting Started

Quickstart: Running Examples and DL4J in Your Projects
Comprehensive Setup Guide
Introduction to Neural Networks

Restricted Boltzmann Machines
Convolutional Nets (ConvNets)
Long Short-Term Memory Units (LSTMs)
Denoising Autoencoders
Recurrent Nets and LSTMs
Multilayer Neural Nets

Deep-Belief Network
Deep AutoEncoder
Stacked Denoising Autoencoders
Tutorials

Using Recurrent Nets in DL4J
MNIST DBN Tutorial
Iris Flower Tutorial
Canova: Vectorization Lib for ML Tools
Neural Net Updaters: SGD, Adam, Adagrad, Adadelta, RMSProp
Datasets

Datasets and Machine Learning
Custom Datasets
CSV Data Uploads
Scaleout

Iterative Reduce Defined
Multiprocessor / Clustering
Running Worker Nodes
Text

DL4J's NLP Framework
Word2vec for Java and Scala
Textual Analysis and DL
Bag of Words
Sentence and Document Segmentation
Tokenization
Vocab Cache
Advanced DL2J

Build Locally From Master
Contribute to DL4J (Developer Guide)
Choose a Neural Net
Use the Maven Build Tool
Vectorize Data With Canova
Build a Data Pipeline
Run Benchmarks
Configure DL4J in Ivy, Gradle, SBT etc
Find a DL4J Class or Method
Save and Load Models
Interpret Neural Net Output
Visualize Data with t-SNE
Swap CPUs for GPUs
Customize an Image Pipeline
Perform Regression With Neural Nets
Troubleshoot Training & Select Network Hyperparameters
Visualize, Monitor and Debug Network Learning
Speed Up Spark With Native Binaries
Build a Recommendation Engine With DL4J
Use Recurrent Networks in DL4J
Build Complex Network Architectures with Computation Graph
Train Networks using Early Stopping
Download Snapshots With Maven
Customize a Loss Function

 
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