Course Outline
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 Libraries for Python
- TensorFlow
- Keras
Setting Up Python with the TensorFlow for Deep Learning
- Installing the TensorFlow Python API
- Testing the TensorFlow Installation
- Setting Up TensorFlow for Development
- Training Your First TensorFlow Neural Net Model
Setting Up Python with Keras for Deep Learning
Building Simple Deep Learning Models with Keras
- Creating a Keras Model
- Understanding Your Data
- Specifying Your Deep Learning Model
- Compiling Your Model
- Fitting Your Model
- Working with Your Classification Data
- Working with Classification Models
- Using Your Models
Working with TensorFlow for Deep Learning for Banking
- Preparing the Data
- Downloading the Data
- Preparing Training Data
- Preparing Test Data
- Scaling Inputs
- Using Placeholders and Variables
- Specifying the Network Architecture
- Using the Cost Function
- Using the Optimizer
- Using Initializers
- Fitting the Neural Network
- Building the Graph
- Inference
- Loss
- Training
- Training the Model
- The Graph
- The Session
- Train Loop
- Evaluating the Model
- Building the Eval Graph
- Evaluating with Eval Output
- Training Models at Scale
- Visualizing and Evaluating Models with TensorBoard
Hands-on: Building a Deep Learning Credit Risk Model Using Python
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
Requirements
- Experience with Python programming
- General familiarity with financial and banking concepts
- Basic familiarity with statistics and mathematical concepts
Testimonials
real exemples of the trainer
Joana Gomes
Trainer, Richard was very good
Lisa Johansen
The trainer was very knowledgeable and well prepared. I think we was very well capable to prepare a training that was suitable for our needs.
Sophia van den Broek - Triple Jump
It was a one to one session so I was able to ask specific questions relating to my own company needs. The course covered the topic really well and gave me many ideas and actions to take away
Hazel Matthews
The whole day was just great and relaxed which really helped. All the printouts really helped.
Louise Mackrell
She was very personable and presented a fluid delivery of the course material.
Karli Buckle
Vajitha was engaging, very knowledgeable, clear and prepared
Cécile McNeil
activity after each topic
JOCELYN BARTOLOME - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
all the topics are all informative and related to our daily life and work . so its really very helpful and useful .
EMMA GABRIEL - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
I obtained a lot of information in my line of work most especially about leadership and how our system works
HERMAN TENORIO - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
personally i am blessed and thankful because i was given the opportunity to gain knowledge... (all topic & subj. matter)
Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
The most like about the training is about the workshop so that we apply what i have learn about the topic
Janette Base - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
Doing the case study was particularly helpful.. The self awareness bit was an eye opener.. all in all a great training session.
Zandrea Cabal - Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
the group activity
Innovative Investors & Financing Co., Inc.; Innovative Investors & Financing Co., Inc.
CAMPARI / TRUST FORMULA
VIRNA INTAL - Innovative Investors & Financing Co., Inc.
I like the application cases wherein every topic, she has exercises to apply what we have learned.
CRISTINA MEDINA - Innovative Investors & Financing Co., Inc.
The lecturer is very knowledgeable and can substantiate theories with his own personal experiences.