In this video, we classify grayscale images of handwritten digits into their 10 categories (0 through 9). We’ll use the MNIST dataset for this purpose. Use the following link to access the code: https://github.com/mortezmaali/Image_...
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A Tutorial on how to use neural networks for regression problems (and on K-fold validation)
A simple tutorial on binary classification of IMDB dataset using neural networks in TensorFlow
A step-by-step tutorial on classifying handwritten digits using neural networks
The importance of color space in image colorization using deep learning (with an example)
A tutorial on coding a simple CNN from scratch on TensorFlow (that tells the color of the objects)
A simple tutorial on image denoising using deep image prior
Does object color impact the performance of object detection using CNN?
How to turn an ordinary digital camera into a hyperspectral camera using deep learning?
A step-by-step tutorial on coding a deep convolutional autoencoder in TensorFlow for image denoising
How to solve the tensor’s size related error when coding a convolutional autoencoder?
Comparing linear regression and neural network in object detection
A step-by-step tutorial on a basic object detection using neural network.