
TensorFlow Advanced Techniques Specialization
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Intermediate
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1. A conversation with Andrew Ng
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2. Functional APIs
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Lab
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3. Using the Functional APIs
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4. Creating a Multi-Output Architecture
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Lab
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5. Siamese Network
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Lab
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Files
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1. Custom loss functions
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Lab
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2. Custom loss hyperparameters and classes
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3. Constrastive Loss
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W2_Assignment
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1. Custom lambda layers
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2. Implementing Custom Layers
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3. Activating Custom Layers
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W3_Assignment
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1. Complex Architectures with Functional API
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2. Using the Model class to simplify complex architectures
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3. Implementing ResNet
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Custom Models - Assignment
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4.0.0
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3.0.1
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1. Built-in Callbacks
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2. Custom Callbacks
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Labs data
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1. A conversation with Andrew Ng
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2. Tensor Basics
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3. Working with Tensors in Eager Mode
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4. Gradient Tape
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Tensor and Gradient Tape - Assignment
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1. Custom Training Loops
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2. Custom Training with TensorFlow Datasets
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.ipynb_checkpoints
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data
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test_model
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variables
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3.0.1
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1. AutoGraph
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2. Creating Graphs for Complex Code
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Files
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3.0.0
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resnet_50_feature_vector
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variables
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1. Overview of Distribution Strategies
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2. Mirrored Strategy
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3. Multiple GPU Mirrored Strategy
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4. TPU Strategy
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5. Other Distributed Strategies
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2.1.1
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resnet_50_feature_vector
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variables
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3.0.1
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1. Concepts in Computer Vision
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2. Transfer Learning
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3. Advanced Transfer learning
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4. Object Localization and Detection
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Graded Quiz
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1. Object Detection
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2. Object Detection in TensorFlow
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3. Object Detection APIs
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4. Retraining with the Object Detection API
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Graded Quiz
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1. Image Segmentation Overview
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2. U-Net
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3. Instance Segmentation
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Graded Quiz
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1. Intro to Visualization and Interpretation
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2. Saliency
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3. Gradients and Class Activation Maps
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4. Improving a model with interpretation
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Graded Quiz
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1. Style Transfer Intro
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2. Total Variation Loss
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3. Fast Neural Style Transfer
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Graded Quiz
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1. What are AutoEncoders
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2. Deep AutoEncoders
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Graded Quiz
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1. Variational AutoEncoders
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Graded Quiz
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1. What are GANs
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2. Deep GANs
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Graded Quiz
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