YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
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YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
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Your Path to Deep Learning
Workshop 2 Resources
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
What are some alternatives?
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NST-AI-to-create-art - NST was first introduced in 2015 paper it took advantage of how convolution neural network works to generate art
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras - Build a recurrent neural network using TensorFlow and Keras.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
YPDL-SentimentAnalysis-LR - While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first session of Your Path to Deep Learning.
NYU-DLSP20 - NYU Deep Learning Spring 2020
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)