PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
This repository provides practical code examples for building sophisticated deep learning models using TensorFlow 2 and Keras. It demonstrates how to implement advanced techniques for tasks like image classification, generating realistic images, and processing sequences. The examples take raw data (like images or numerical datasets) and produce trained AI models capable of performing complex recognition, generation, or prediction tasks. This resource is intended for machine learning practitioners and researchers looking to apply cutting-edge deep learning architectures.
1,981 stars.
Use this if you are a machine learning practitioner or researcher wanting to learn and apply advanced deep learning techniques such as generative adversarial networks (GANs), autoencoders, and various convolutional and recurrent neural network architectures.
Not ideal if you are new to deep learning concepts and programming, as this resource assumes foundational knowledge and focuses on advanced implementations.
Stars
1,981
Forks
1,024
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/PacktPublishing/Advanced-Deep-Learning-with-Keras"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
tensorflow/docs
TensorFlow documentation
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
serengil/tensorflow-101
TensorFlow 101: Introduction to Deep Learning