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WU-CSC440.AE1
CSC440 Deep Learning and Neural Network
Intermediate Self-paced · 1 year access
12 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
21 Interactive Lessons · 88 topics01 Introduction 3 topics +
- About This Course
- Icons Used in This Course
- Where to Go from Here
02 Introducing Deep Learning 4 topics +
- Defining What Deep Learning Means
- Using Deep Learning in the Real World
- Considering the Deep Learning Programming Environment
- Overcoming Deep Learning Hype
03 Introducing the Machine Learning Principles 3 topics +
- Defining Machine Learning
- Considering the Many Different Roads to Learning
- Pondering the True Uses of Machine Learning
04 Getting and Using Python 8 topics · 8 LiveLab +
- Working with Python in this Course
- Obtaining Your Copy of Anaconda
- Downloading the Datasets and Example Code
- Creating the Application
- Understanding the Use of Indentation
- Adding Comments
- Getting Help with the Python Language
- Working in the Cloud
8 LiveLab in this lesson — see the labs panel →
05 Leveraging a Deep Learning Framework 3 topics · 1 LiveLab +
- Presenting Frameworks
- Working with Low-End Frameworks
- Understanding TensorFlow
1 LiveLab in this lesson — see the labs panel →
06 Reviewing Matrix Math and Optimization 3 topics · 4 LiveLab +
- Revealing the Math You Really Need
- Understanding Scalar, Vector, and Matrix Operations
- Interpreting Learning as Optimization
4 LiveLab in this lesson — see the labs panel →
07 Laying Linear Regression Foundations 5 topics · 4 LiveLab +
- Combining Variables
- Mixing Variable Types
- Switching to Probabilities
- Guessing the Right Features
- Learning One Example at a Time
4 LiveLab in this lesson — see the labs panel →
08 Introducing Neural Networks 3 topics · 1 LiveLab +
- Discovering the Incredible Perceptron
- Hitting Complexity with Neural Networks
- Struggling with Overfitting
1 LiveLab in this lesson — see the labs panel →
09 Building a Basic Neural Network 2 topics · 2 LiveLab +
- Understanding Neural Networks
- Looking Under the Hood of Neural Networks
2 LiveLab in this lesson — see the labs panel →
10 Moving to Deep Learning 5 topics +
- Seeing Data Everywhere
- Discovering the Benefits of Additional Data
- Improving Processing Speed
- Explaining Deep Learning Differences from Other Forms of AI
- Finding Even Smarter Solutions
11 Explaining Convolutional Neural Networks 3 topics · 1 LiveLab +
- Beginning the CNN Tour with Character Recognition
- Explaining How Convolutions Work
- Detecting Edges and Shapes from Images
1 LiveLab in this lesson — see the labs panel →
12 Introducing Recurrent Neural Networks 2 topics +
- Introducing Recurrent Networks
- Explaining Long Short-Term Memory
13 Performing Image Classification 2 topics · 2 LiveLab +
- Using Image Classification Challenges
- Distinguishing Traffic Signs
2 LiveLab in this lesson — see the labs panel →
14 Learning Advanced CNNs 3 topics +
- Distinguishing Classification Tasks
- Perceiving Objects in Their Surroundings
- Overcoming Adversarial Attacks on Deep Learning Applications
15 Working on Language Processing 3 topics · 2 LiveLab +
- Processing Language
- Memorizing Sequences that Matter
- Using AI for Sentiment Analysis
2 LiveLab in this lesson — see the labs panel →
16 Generating Music and Visual Art 2 topics +
- Learning to Imitate Art and Life
- Mimicking an Artist
17 Building Generative Adversarial Networks 2 topics +
- Making Networks Compete
- Considering a Growing Field
18 Playing with Deep Reinforcement Learning 2 topics +
- Playing a Game with Neural Networks
- Explaining Alpha-Go
19 Ten Applications that Require Deep Learning 10 topics +
- Restoring Color to Black-and-White Videos and Pictures
- Approximating Person Poses in Real Time
- Performing Real-Time Behavior Analysis
- Translating Languages
- Estimating Solar Savings Potential
- Beating People at Computer Games
- Generating Voices
- Predicting Demographics
- Creating Art from Real-World Pictures
- Forecasting Natural Catastrophes
20 Ten Must-Have Deep Learning Tools 10 topics +
- Compiling Math Expressions Using Theano
- Augmenting TensorFlow Using Keras
- Dynamically Computing Graphs with Chainer
- Creating a MATLAB-Like Environment with Torch
- Performing Tasks Dynamically with PyTorch
- Accelerating Deep Learning Research Using CUDA
- Supporting Business Needs with Deeplearning4j
- Mining Data Using Neural Designer
- Training Algorithms Using Microsoft Cognitive Toolkit (CNTK)
- Exploiting Full GPU Capability Using MXNet
21 Ten Types of Occupations that Use Deep Learning 10 topics +
- Managing People
- Improving Medicine
- Developing New Devices
- Providing Customer Support
- Seeing Data in New Ways
- Performing Analysis Faster
- Creating a Better Work Environment
- Researching Obscure or Detailed Information
- Designing Buildings
- Enhancing Safety
Hands-On Labs Our edge
12 LiveLabs- Exploring Jupyter Notebook
- Understanding Cells of Jupyter Notebook
- Understanding Indentation and Adding Comments in a Notebook
- Working with Matrices
- Analyzing Data Using Linear Regression
- Using Polynomial Expansion to Model Complex Relations
- Analyzing Data Using Logistic Regression
- Creating a Neural Network Model
- Building a LeNet5 Network
- Creating an Image Classifier Using CNNs
- Processing Text Using NLP
- Building a Sentiment Analysis Algorithm Using RNNs
Labs run in your browser — nothing to install.
02 / FAQs
Questions before you start
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Prepare for CSC440 Deep Learning and Neural Network
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- 1 year of full access
- 12 LiveLab included
- Certificate of completion
No credit card required