rinogrego/TensorFlow-Advanced-Techniques-Specialization

TensorFlow: Advanced Techniques Course material on cousera this repository is for learning purpose.

TensorFlow-Advanced-Techniques-Specialization-Cousera

Deeplearning.AI TensorFlow: Advanced Techniques Specialization Solution

MOOC 1: 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: Custom Callbacks

Custom Visualize Predictions into Gifs Callbacks:

MOOC 2: Custom and Distributed Training with TensorFlow

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

MOOC 3: Advanced Computer Vision with TensorFlow

• Week 1: Introduction to Computer Vision

• Week 2: Object Detection

Fine tune object detection using only 5 training images: Object Detection API and retrain RetinaNet

• Week 3: Image Segmentation

MNIST Segmentation:

• Week 4: Visualization and Interpretability

Class Activation Maps with Fashion MNIST:

Class Activation Maps with CatsDogs:

Saliency:

Radient-weighted class activation maps (GradCAMs):

MOOC 4: Generative Deep Learning with TensorFlow

• Week 1: Style Transfer

Assignment Style Transfer using InceptionV3 backbone

• Week 2: AutoEncoder

Assignment CIFAR-10 AutoEncoder

• Week 3: Variational AutoEncoder

MNIST Variational Autoencoder:

Anime Face Variational Autoencoder:

Encoder with random normal embeddings

Anime Face Variational Autoencoder inference:

• Week 4: GAN

MNIST GAN:

Fashion MNIST GAN:

Celebrity Face GAN: