Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers.
Professional CertificateIntermediate10 hours 10 mins
Tensorflow: Advanced Techniques
Instructors: Laurence Moroney, Eddy Shyu
Earn a certificate with PRO
- Intermediate
- 10 hours 10 mins
- 146 Video Lessons
- Earn a certificate with PRO
- Instructors: Laurence Moroney, Eddy Shyu
DeepLearning.AI- Learn more aboutMembership PRO Plan
What you'll learn
Learn optimization and how to use GradientTape & Autograph, optimize training in different environments with multiple processors and chip types.
Practice object detection, image segmentation, and visual interpretation of convolutions.
Explore generative deep learning, and how AIs can create new content, from Style Transfer through Auto Encoding and VAEs to GANs.
Skills you will gain
Model Interpretability
Custom Training Loops
Custom and Exotic Models
Generative Machine Learning
Object Detection
Functional API
Custom Layers
Custom and Exotic Models with Functional API
Custom Loss Functions
Distribution Strategies
Basic Tensor Functionality
GradientTape for Optimization
The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models.
In this Specialization, you will expand your knowledge of the Functional API and build exotic non-sequential model types. You will learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. You will also explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.
Course Outline
Custom Models, Layers, and Loss Functions with TensorFlow
Week 1: Functional APIs
Week 2: Custom Loss Functions
Week 3: Custom Layers
Week 4: Custom Models
Week 5: Bonus Content - Callbacks
Custom and Distributed Training with TensorFlow
Week 1: Differentiation and Gradients
Week 2: Custom Training
Week 3: Graph Mode
Week 4: Distributed Training
Advanced Computer Vision with TensorFlow
Week 1: Introduction to Computer Vision
Week 2: Object Detection
Week 3: Image Segmentation
Week 4: Visualization and Interpretability
Generative Deep Learning with TensorFlow
Week 1: Style Transfer
Week 2: AutoEncoders
Week 3: Variational AutoEncoders
Week 4: GANs
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