Juan Carlos Olamendyjuancolamendy.hashnode.dev·Mar 26, 2024Persisting and Loading Keras Models: A Comprehensive GuideThe ability to persist and load models is crucial in the machine learning lifecycle, ensuring seamless deployment, reproducibility, and efficient resource utilization. Imagine you've spent countless hours training a complex neural network, and just a...DiscussMachine Learning
Alexandre Donciu-Julindev.alexdjulin.ovh·Mar 6, 2024Training a CNN on Rock-Paper-Scissors images using Keras and OpenCVMy attempt at the Rock-Paper-Scissors classification problem. Project Demo Project Repo This project is available on my github: RockPaperScissorsCNN Datasets I used the following 3 datasets to train the CNN from scratch: DRGFREEMAN - Edited to rem...Discuss·54 readsPython
Redha Bayu Anggararedhabayuanggara.hashnode.dev·Jan 19, 2024Keras and TensorFlowIn general, there are two ways to install Keras and TensorFlow: Install a Python distribution that includes hundreds of popular packages (including Keras and TensorFlow) such as ActivePython. Use pip to install TensorFlow, which will also install K...Discusskeras
Wesley Kambalekambale.dev·Jan 16, 2024Building, Compiling, and Fitting Models with TensorFlowIntroduction TensorFlow is a free and open-source software library that can be used to build machine learning models. It includes the Keras API, which provides a user-friendly interface for building models. Machine learning engineers make decisions a...Discuss·12 likes·294 readsMachine LearningTensorFlow
Mohamad Moawadsmoothsec.hashnode.dev·Dec 24, 2023Binary Neural Network Part 2Objectives: Develop two simple image classification networks (1-bit and 32-bit) in Python. Profile both networks and compare their results. What you should know: Welcome back! If you've been following along, this is the second part of our series ...Discuss·46 readsMachine LearningLarq
Adarsh Kumaradarshk27r.hashnode.dev·Dec 15, 2023A Guide to Popular Deep Learning FrameworksIntroduction Deep learning, the powerhouse behind many breakthroughs in artificial intelligence, relies heavily on robust frameworks to turn complex mathematical models into actionable solutions. In this blog post, we'll embark on a journey through t...Discuss·10 likescaffe
Monojit Sarkarmonojit13.hashnode.dev·Dec 10, 2023Decoding Loss Functions: Categorical Cross Entropy vs Sparse Categorical Cross EntropyCategorical Cross Entropy and Sparse categorical Cross Entropy are loss functions used for classification tasks. The choice depends on the format of the label data. If the labels are one-hot encoded, categorical cross entropy is used. If the labels a...DiscussPython 3
Sirus SalariProscrappedscript.com·Nov 28, 2023Utilizing Keras to Augment ImagesIntroduction In this article, we discuss how to install Keras and Skimage, and demonstrate the process of image augmentation using the ImageDataGenerator object from Keras. Image augmentation is useful for creating larger training datasets for objec...Discuss·2 likes·73 readsBit by BitPython
Muhammad Haseebmhaseeb1604.hashnode.dev·Nov 9, 2023Unlock the Power of Keras Callbacks!Machine learning/Deep Learning, with its ever-evolving algorithms and complex models, has evolved into a powerful tool in the hands of Data Scientists and AI practitioners. The process of training a Deep Learning model is intricate and often unpredic...Discuss·39 readskeras
Clarkehashnode.botanophobia.xyz·Oct 27, 2023Migrate A Keras Network to the PyTorch framework.Clair3 is a DeepVariant-like variant calling model widely used in long-read sequencing technology, especially in Nanopore sequencing. It was developed by HKU and published in Nature Computer Science, while the code is available on GitHub. However, Cl...Discuss·30 readspytorch
