leriomaggio/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
This project provides practical examples and explanations for building deep learning models using Keras and TensorFlow. It guides you through creating neural networks for tasks like image classification and text generation. Data like images (e.g., MNIST) or text are processed, and trained models that can make predictions or generate new content are produced. It's for anyone with a basic understanding of programming who wants to apply deep learning techniques to real-world data.
2,975 stars. No commits in the last 6 months.
Use this if you want to learn how to implement various deep learning architectures, from basic neural networks to convolutional and recurrent networks, using popular Python frameworks.
Not ideal if you're looking for an ultra-lightweight library for rapid prototyping without needing to understand the underlying deep learning concepts.
Stars
2,975
Forks
1,263
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/leriomaggio/deep-learning-keras-tensorflow"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
tensorflow/docs
TensorFlow documentation
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
GoogleCloudPlatform/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform...
menon92/DL-Sneak-Peek
Deep learning Bangla resources using TensorFlow
carpentries-lab/deep-learning-intro
Learn Deep Learning with Python