HO CHI MINH: Introduction to Deep Learning with NVIDIA GPUs , HUST University, Thứ sáu, 06. Tháng mười hai 2019

VIETNAM WORKSHOP @ HUST University
Fee : USD500
Pre-requisite
Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables
Your Certificate
You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion.
About the Course
Organizations are using deep learning and AI at every stage of growth, from startups to Fortune 500s. Deep learning, the fastest growing field in AI, is empowering immense progress in all kinds of emerging markets and will be instrumental in ways we haven’t even imagined.
Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to change this dynamic. Machines are now able to learn at a speed, accuracy, and scale that are driving true artificial intelligence and AI Computing
This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud.
After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.
Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms. 

DLI Workshop Attendee Instructions: 
You MUST bring your own laptop to this workshop.


WHAT YOU WILL LEARN

Course Outline
INTRODUCTION LEVEL - DAY 1 & 2 Day 1
What is Deep Learning and what are Neural Networks? 

Deep Learning as a branch of AI
Neural networks and their history and relationship to neurons
Creating a neural network in Python

Artificial Neural Networks (ANN) Intuition 

Understanding the neuron and neuroscience
The activation function (utility function or loss function)
How do NN’s work?
How do NN’s learn?
Gradient descent
Stochastic Gradient descent
Backpropagation

Building an ANN 

Getting the python libraries
Constructing ANN
Using the bank customer churn dataset
Predicting if customer will leave or not

Evaluating Performance of an ANN 

Evaluating the ANN
Improving the ANN
Tuning the ANN

Hands-On Exercise (60 min)

Participants will be asked to build the ANN from the previous exercise
Participants will be asked to improve the accuracy of their ANN

Convolutional Neural Networks (CNN) Intuition (60 min)

What are CNN’s?
Convolution operation
ReLU Layer
Pooling
Flattening
Full Connection
Softmax and Cross-entropy

Building a CNN (60 min)

Getting the python libraries
Constructing a CNN
Using the Image classification dataset
Predicting the class of an image

Day 2
Evaluating Performance of a CNN (60 min)

Evaluating the CNN
Improving the CNN
Tuning the CNN

Hands-On Exercise (60 min)

Participants will be asked to build the CNN from the previous exercise
Participants will be asked to improve the accuracy of their CNN

Fully Convolutional Network (FCN) Intuition (60 min)

What are FCN’s?
Vanishing Gradient problem
LSTMs
Practical intuition
LSTM variations

Building a FCN (60 min)

Getting the python libraries
Constructing FCN
Using the stock prediction dataset
Predicting stock price

Evaluating Performance of a FCN (60 min)

Evaluating the FCN
Improving the FCN
Tuning the FCN

Hands-On Exercise (60 min)

• Participants will be asked to build the FCN from the previous exercise
• Participants will be asked to improve the accuracy of their FCN

FUNDAMENTALS LEVEL - Day 3
HANDS-ON
Duration: 8 hours
Certification: Upon successful completion of this workshop, you will receive NVIDIA DLI Certification tO prove subject matter competency and support professional career growth
Tools, libraries and frameworks: Caffe, DIGITS

ABOUT YOUR TRAINERS:
NVIDIA DLI Certified Trainer - Profile to be updated
* Kindly note that our NVIDIA certified trainer may vary for each workshop. 

Thứ sáu, 06. Tháng mười hai 2019, HUST University, HO CHI MINH: Introduction to Deep Learning with NVIDIA GPUs

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