CTU-AI310.AE1
Deep Learning
- Practice in 17 Hands-On Labs — nothing to install
- 5 Interactive Lessons and 63 topics mapped to the official exam objectives
Intermediate Self-paced · 1 year access
17 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
5Interactive Lessons
63Topics
17LiveLab
60Flashcards
60Glossary of terms
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
5 Interactive Lessons · 63 topics01 Foundations of Deep Learning 15 topics · 3 LiveLab +
- Defining What Deep Learning Means
- Using Deep Learning in the Real World
- Considering the Deep Learning Programming Environment
- Overcoming Deep Learning Hype
- Defining Machine Learning
- Considering the Many Different Roads to Learning
- Pondering the True Uses of Machine Learning
- 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
3 LiveLab in this lesson — see the labs panel →
02 Deep Learning Architectures 14 topics · 3 LiveLab +
- Understanding Neural Networks
- Looking Under the Hood of Neural Networks
- 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
- Beginning the CNN Tour with Character Recognition
- Explaining How Convolutions Work
- Detecting Edges and Shapes from Images
- Introducing Recurrent Networks
- Explaining Long Short-Term Memory
- Using Image Classification Challenges
- Distinguishing Traffic Signs
3 LiveLab in this lesson — see the labs panel →
03 Applying Deep Learning Models 11 topics · 4 LiveLab +
- Presenting Frameworks
- Working with Low-End Frameworks
- Understanding TensorFlow
- Revealing the Math You Really Need
- Understanding Scalar, Vector, and Matrix Operations
- Interpreting Learning as Optimization
- 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 →
04 Evaluating Deep Learning Models 10 topics · 4 LiveLab +
- Making Networks Compete
- Considering a Growing Field
- Playing a Game with Neural Networks
- Explaining Alpha-Go
- Discovering the Incredible Perceptron
- Hitting Complexity with Neural Networks
- Struggling with Overfitting
- Processing Language
- Memorizing Sequences that Matter
- Using AI for Sentiment Analysis
4 LiveLab in this lesson — see the labs panel →
05 Advanced Applications of Deep Learning 13 topics · 3 LiveLab +
- Distinguishing Classification Tasks
- Perceiving Objects in Their Surroundings
- Overcoming Adversarial Attacks on Deep Learning Applications
- 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
3 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
17 LiveLabs- Exploring Jupyter Notebook
- Understanding Cells of Jupyter Notebook
- Understanding Indentation and Adding Comments in a Notebook
- Creating a Neural Network Model
- Building a LeNet5 Network
- Creating an Image Classifier Using CNNs
- Working with Matrices
- Analyzing Data Using Linear Regression
- Using Polynomial Expansion to Model Complex Relations
- Analyzing Data Using Logistic Regression
- Processing Text Using NLP
- Natural Language Processing using Machine Learning
- Building a Sentiment Analysis Algorithm Using RNNs
- Interpreting Sentiment Analysis Predictions with LIME
- Building a CNN
- Using CNN for Image Classification
- Training a CNN Model Using the Image Dataset
Labs run in your browser — nothing to install.
02 / FAQs
Questions before you start
Keep going
You might also like
Prepare for Deep Learning
One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.
- 1 year of full access
- 17 LiveLab included
- Certificate of completion