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Image Classification Using CNN
| | web.navan.dev
Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria
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| | Tutorial on creating an image classifier model using TensorFlow which detects malaria
| | www.v7labs.com
Convolutional Neural Networks: Architectures, Types & Examples
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| | Convolutional neural networks (CNN) are particularly well-suited for image classification and object detection. Learn the basics of CNNs and how to use them.
| | wtfleming.github.io
Cats vs Dogs - Part 1 - 92.8% Accuracy - Binary Image Classification with Keras and Deep Learning
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| | sirupsen.com
Neural Network From Scratch
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| [AI summary] The article provides an in-depth explanation of how to build a neural network from scratch, focusing on the implementation of a simple average function and the introduction of activation functions for non-linear tasks. It discusses the use of matrix operations, the importance of GPUs for acceleration, and the role of activation functions like ReLU. The author also outlines next steps for further exploration, such as expanding the model, adding layers, and training on datasets like MNIST.