Lightweight Python package for automatic differentiation
meachine learning
Get started with Tensorflow/Keras API.
Example code for using Tensorflow 2.0 with both numerical and categorical data
This is a Tensorflow implementation of text recognition model from the paper "An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition".
نقل النمط العصبوني: بناء طريقة للتعلم العميق باستخدام كيراس tf.keras و منفّذ إيجر eager execution
Simple Examples with TensorFlow from scratch
MobileNetV2 written in tensorflow, training with eager mode and estimator API
Eager Execution enables you to run operations immediately
Image Style Transfer in TensorFlow
This repository contains Various Techniques that can be used for object detection.
Using an RNN to make predictions about redactions from the Mueller report
Major GANs are implemented in this repository 🔥
This repository contains a notebook for object detection with the help of fine tuning of a (TF2 friendly) RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint. Training runs in eager mode.
Major anomaly detection methods using neural networks are implemented in this repository 🔥
A proposal for distribution-based loss function in neural network
3 different ways to implement GD in TF2.0
Foolbox Native brings native performance to Foolbox
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