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Articles tagged with #deep-learning
In this tutorial, you'll look at how learning rate affects ML (Linear Regression Model) and DL (Neural Networks) models, as well as which adaptive learning rate methods best optimize neural networks in deep learning. What is the Learning Rate? Learni...
There are deep learning models that are pre-trained on millions of image data. These models reduce the effort to train the custom deep learning model from scratch, you need to fine-tune them and they are ready to be trained on your dataset. Keras pro...
Introduction Transfer learning is used in machine learning and is a method in which already-trained or pre-trained neural networks are present and these pre-trained neural networks are trained using millions of data points. This technique is currentl...
Data is the main spice in the recipe of machine learning and deep learning. It is said that a good amount of data is responsible for developing a better-performing AI model. Nowadays, many AI-based services and applications are driven by deep learnin...
The web app we will make is about predicting the image of a hand sign digit. The model is trained on the dataset named "American Hand Digit Sign Language" found on Kaggle. This tutorial will focus on making a web app using the Flask web framework, so...
