YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
NST-AI-to-create-art
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| YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow | NST-AI-to-create-art | |
|---|---|---|
| 1 | 1 | |
| 4 | 2 | |
| - | - | |
| 0.0 | 5.5 | |
| over 2 years ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
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Your Path to Deep Learning
Workshop 2 Resources
NST-AI-to-create-art
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Since you were interested in my latest project, you can easily accesses it in ipython notebook through Kaggle cloud service link in comments, I encourage you to try it yourself even without much coding experience.
GitHub: https://github.com/MightyStud/NST-AI-to-create-art
What are some alternatives?
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras - Build a recurrent neural network using TensorFlow and Keras.
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.
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.