Deep Learning

Recognizing Malaria Cells Using Keras Convolutional Neural Network(CNN) – Marketing Article

Image by Darko Stojanovic from Pixabay Artificial Intelligence has vast-ranging attention and its utilization in the healthcare business or industry. As an intense learner and a Kaggle beginner, I chose to work on the Malaria Cells dataset to get a little hands-on experience and discover how to work with CNN, Keras, and pictures on the Kaggle platform. In many points I love about Kaggle is the extensive knowledge it exists in the form of Kernels and Discussions. Taking ideas and…

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Classify Handwritten-Digits With Tensorflow | MarkTechPost – Marketing Article

One of the capabilities of deep learning is image recognition, The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. Sample Digits from MNIST dataset In this article, we are going to classify MNIST Handwritten digits using Keras. You can download the code from Google Colab. Description of the MNIST Handwritten Digit. The MNIST Handwritten Digit is a dataset for evaluating machine learning and deep learning models on the handwritten…

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