This repository contains my work on the assignments and labs from the DeepLearning.AI TensorFlow Developer Professional Certificate and TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.

• W1
• W2
• W3
• W4

• W1
• W2
• W3
• W4

• W1
• W2
• W3
• W4

• W1

• W2

• W3

• W4

          `Specialization 1 END`
  

Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers.

• Week 1 - Functional APIs
• Week 2 - Custom Loss Functions
• Week 3 - Custom Layers
• Week 4 - Custom Models

Learn how optimization works and how to use GradientTape and Autograph. Optimize training in different environments with multiple processors and chip types.

• Week 1 - Differentiation and Gradients
• Week 2 - Custom Training
• Week 3 - Graph Mode
• Week 4 - Distributed Training

Practice object detection, image segmentation, and visual interpretation of convolutions.

• Week 1 - Introduction to Computer Vision
• Week 2 - Object Detection
• Week 3 - Image Segmentation

Explore generative deep learning and how AI can create new content, from style transfer through auto-encoding and VAEs to generative adversarial networks.

• Week 1 - Style Transfer
• Week 2 - AutoEncoders
• Week 3 - Variational AutoEncoders
• Week 4 - GANs

[Coursera TensorFlow Advanced Techniques Specialization][TATS]