YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow VS YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras

Compare YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow vs YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras and see what are their differences.

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YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras
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0.0 0.0
over 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow

Posts with mentions or reviews of YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras

Posts with mentions or reviews of YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

What are some alternatives?

When comparing YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow and YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras you can also consider the following projects:

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

probability - Probabilistic reasoning and statistical analysis in TensorFlow

NST-AI-to-create-art - NST was first introduced in 2015 paper it took advantage of how convolution neural network works to generate art

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.

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.

YourPathToDeepLearning - Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.

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.