Introduction to Deep Neural Networks with Keras and Tensorflow
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Updated
Jul 25, 2023 - Jupyter Notebook
Introduction to Deep Neural Networks with Keras and Tensorflow
验证码识别
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
Примеры для курса "Программирование глубоких нейронных сетей на Python"
Layers Outputs and Gradients in Keras. Made easy.
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Simple tutorials using Keras Framework
Building an image classifier using keras
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.
전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
[DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support
Allstate Kaggle Competition ML Capstone Project
Annotation of ECG signals using deep learning, tensorflow’ Keras
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
🔥 Reproducibly benchmarking Keras and PyTorch models
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
Classify movie posters by genre
This repo contains all the notebooks mentioned in blog.
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