課程目錄:Deep Learning for Banking (with R)培訓(xùn)
4401 人關(guān)注
(78637/99817)
課程大綱:

          Deep Learning for Banking (with R)培訓(xùn)

 

 

 

 

Introduction

Understanding the Fundamentals of Artificial Intelligence and Machine Learning

Understanding Deep Learning

Overview of the Basic Concepts of Deep Learning
Differentiating Between Machine Learning and Deep Learning
Overview of Applications for Deep Learning
Overview of Neural Networks

What are Neural Networks
Neural Networks vs Regression Models
Understanding Mathematical Foundations and Learning Mechanisms
Constructing an Artificial Neural Network
Understanding Neural Nodes and Connections
Working with Neurons, Layers, and Input and Output Data
Understanding Single Layer Perceptrons
Differences Between Supervised and Unsupervised Learning
Learning Feedforward and Feedback Neural Networks
Understanding Forward Propagation and Back Propagation
Understanding Long Short-Term Memory (LSTM)
Exploring Recurrent Neural Networks in Practice
Exploring Convolutional Neural Networks in practice
Improving the Way Neural Networks Learn
Overview of Deep Learning Techniques Used in Banking

Neural Networks
Natural Language Processing
Image Recognition
Speech Recognition
Sentimental Analysis
Exploring Deep Learning Case Studies for Banking

Anti-Money Laundering Programs
Know-Your-Customer (KYC) Checks
Sanctions List Monitoring
Billing Fraud Oversight
Risk Management
Fraud Detection
Product and Customer Segmentation
Performance Evaluation
General Compliance Functions
Understanding the Benefits of Deep Learning for Banking

Exploring the Different Deep Learning Packages for R

Deep Learning in R with Keras and RStudio

Overview of the Keras Package for R
Installing the Keras Package for R
Loading the Data
Using Built-in Datasets
Using Data from Files
Using Dummy Data
Exploring the Data
Preprocessing the Data
Cleaning the Data
Normalizing the Data
Splitting the Data into Training and Test Sets
Implementing One Hot Encoding (OHE)
Defining the Architecture of Your Model
Compiling and Fitting Your Model to the Data
Training Your Model
Visualizing the Model Training History
Using Your Model to Predict Labels of New Data
Evaluating Your Model
Fine-Tuning Your Model
Saving and Exporting Your Model
Hands-on: Building a Deep Learning Credit Risk Model Using R

Extending your Company's Capabilities

Developing Models in the Cloud
Using GPUs to Accelerate Deep Learning
Applying Deep Learning Neural Networks for Computer Vision, Voice Recognition, and Text Analysis
Summary and Conclusion

国产精品高清免费网站| 国产精品内射久久久久欢欢| 久久亚洲精品视频| 成人综合婷婷国产精品久久蜜臀| 华人在线精品免费观看 | 999国内精品永久免费观看| 狠狠精品久久久无码中文字幕| 国产精品大全国产精品| 久久精品亚洲综合| 黑人无码精品又粗又大又长| 国产精品国产AV片国产| 精品无人码麻豆乱码1区2区| 久久精品成人免费观看97| 国产综合精品在线| 999国内精品永久免费视频| 99精品视频免费观看| 日韩精品无码一区二区三区AV| 国产成人精品免费视频软件| AAA级久久久精品无码片| 亚洲AV成人无码久久精品老人| 国产精品午夜一级毛片密呀| 色婷婷99综合久久久精品| 久久久精品久久久久三级| 久久久久无码精品亚洲日韩| 久久精品国产精品亚洲| 九九免费久久这里有精品23| 精品国产品香蕉在线观看| 中文字幕乱码亚洲精品一区| 91大神精品视频| 久久96国产精品| 九九99精品久久久久久| 99久久精品国产麻豆| 国产精品龙口护士门在线观看| 杨幂精品国产福利在线| 亚洲熟女精品中文字幕| 亚洲午夜精品一区二区公牛电影院 | 爱看精品福利视频观看| 国产成人精品高清不卡在线 | 久久精品国产亚洲77777| 精品一区二区三区在线视频| 99免费精品视频|