Karthik Karunakaran, Ph.D.·Feb 13, 2025Unlock the Power of Keras: Master the add_weight Method with Practical ExamplesIn today’s fast-paced world of deep learning, every line of code counts. Are you ready to take control of your custom layers and…
Karthik Karunakaran, Ph.D.·Oct 21, 2024Mastering Customizing Saving and Serialization in Keras: A Pro Guide to Handling Layers and ModelsAre you looking to take control of how your Keras models and layers are saved and serialized? If you’re tired of using out-of-the-box…
Karthik Karunakaran, Ph.D.·Oct 12, 2024Mastering Custom Layers and Models in Keras: A Complete Guide to Writing Layer and Model Objects…In the world of deep learning, mastering the art of building custom layers and models is essential for tackling advanced challenges. Keras…
Gustavo de Souza Gonçalves·May 22, 2024Desenvolvendo uma Lambda AWS em Python com Layers Personalizadas Usando TerraformA proposta deste projeto é habilitar funções Lambda na AWS sem a necessidade de containers, mas permitindo ainda o uso de bibliotecas além…
Anurag Singh·Jan 23, 2023Shared Sandbox with Multiple Developers- How to work on one sandbox with multiple users with having separate storefront sites in a Business Manager.
Sthanikam Santhosh·Dec 6, 2022Custom models with TensorFlow (Part-3)-> Custom layers & ActivationIn Part 1 and Part 2 of the custom models with Tensorflow, we discussed how to implement multi-input and multi-output layers. In this…
InDive into ML/AIbyAnuj Arora·Aug 11, 2021Designing a custom keras layer with memory/persistent variableIf you have ever thought of propagating values across training steps while still using the model.fit() functionality of keras, you have…
InTDS ArchivebyMarco Sanguineti·Jul 17, 2021Custom Layers in TensorflowEnhance the Tensorflow Experience Creating your own Layers
Aradhna Singh·Jun 21, 2021Custom Layers In AWS LambdaThe logic is clear, the requirements are clear and you are really geared up to write your code in Lambda for some automation. You proceed…
InDive into ML/AIbyAnuj Arora·Jun 17, 2021Importance sampling with latest batch histories’ based thresholdingThreshold for sample filtering defined using loss values for last “m” batches
