TensorFlow-Advanced-Techniques-Solution and DeepLearning.AI-TensorFlow-Advanced-Techniques-Specialization

TensorFlow-Advanced-Techniques-Solution
37
Emerging
DeepLearning.AI-TensorFlow-Advanced-Techniques-Specialization
30
Emerging
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 16/25
Maintenance 2/25
Adoption 1/25
Maturity 15/25
Community 12/25
Stars: 9
Forks: 6
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About TensorFlow-Advanced-Techniques-Solution

Hunterdii/TensorFlow-Advanced-Techniques-Solution

Tensorflow Advanced Technique Specialization - Solution

This project provides solutions for the Deeplearning.AI TensorFlow: Advanced Techniques Specialization. It helps machine learning engineers and researchers implement advanced TensorFlow concepts like custom models, layers, loss functions, and distributed training. It also covers advanced computer vision tasks such as object detection, image segmentation, and generative deep learning techniques like Style Transfer and GANs.

deep-learning-engineering computer-vision generative-ai model-customization distributed-training

About DeepLearning.AI-TensorFlow-Advanced-Techniques-Specialization

LuisHung96/DeepLearning.AI-TensorFlow-Advanced-Techniques-Specialization

Welcome to my repository about DeepLearning.AI TensorFlow: Advanced Techniques Specialization! It includes assignments, quizzes, and hands-on labs where I mastered skills in custom models, computer vision, generative modeling, distributed training, and optimization model with TensorFlow 2.x & Keras

Scores updated daily from GitHub, PyPI, and npm data. How scores work