gtesei/DeepExperiments
TensorFlow/Keras experiments on computer vision and natural language processing
This collection provides practical TensorFlow/Keras code examples for various computer vision and natural language processing tasks. It takes raw image data or text as input and demonstrates how to build models for tasks like image recognition, text understanding, and generative tasks. This is for machine learning practitioners, researchers, and students who want to explore deep learning concepts through hands-on code.
No commits in the last 6 months.
Use this if you are a machine learning practitioner wanting to learn or experiment with common deep learning models and techniques in TensorFlow/Keras for image and text data.
Not ideal if you are looking for a plug-and-play solution for a specific business problem or a library to integrate into an existing application.
Stars
9
Forks
10
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 28, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/gtesei/DeepExperiments"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
wangz10/tensorflow-playground
Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs
codelucas/cracking-the-da-vinci-code-with-google-interview-problems-and-nlp-in-python
A guide on how to crack combinatorics puzzles shown in The Da Vinci Code movie using CS...
ChengjinLi/machine_learning
机器学习、深度学习、NLP实战项目
arewadataScience/ArewaDS-Deep-Learning
Arewa Data Science Deep Learning Curricula
martin-fabbri/colab-notebooks
Colab notebooks exploring different Machine Learning topics.