Introduction to Deep Neural Networks with Keras and Tensorflow

验证码识别

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

Layers Outputs and Gradients in Keras. Made easy.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

猫狗大战

🔥 Reproducibly benchmarking Keras and PyTorch models

Примеры для курса "Программирование глубоких нейронных сетей на Python"

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

[DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support

Simple tutorials using Keras Framework

Building an image classifier using keras

Annotation of ECG signals using deep learning, tensorflow’ Keras

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.

This repo contains all the notebooks mentioned in blog.

Allstate Kaggle Competition ML Capstone Project

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.