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TensorFlow

Articles

public

Tutorial

Movies Recommendation Systems with TensorFlow

In this blog post, we cover the three types of recommender systems, and demo their use with the MovieLens dataset.

By Salim Oyinlola

• 4 months ago

public

Tutorial

Music Generation with LSTMs

In this article, we explore the progress that deep learning has made in the field of music in numerous tasks related to audio and signal processing. We then proceed to model and generate our own music files using pretty_midi.

By Bharath K

• 7 months ago

Featured public

Tutorial

Audio Classification with Deep Learning

This is a tutorial for conducting auditory classification within a Gradient Notebook using TensorFlow. Readers can expect to learn about the essential basic concepts of signal processing and some of the best techniques for audio classification to achieve the best desired outcomes.

By Bharath K

• 7 months ago

Featured public

Tutorial

BERT Transformers for Natural Language Processing

In this tutorial, we examine how the BERT language model works in detail before jumping into a coding demo. We then showed how to fine-tune the model for a particular text classification task.

By Bharath K

• 9 months ago

Featured public

Tutorial

pix2pix Generative Adversarial Networks

In this tutorial, we show how to construct the pix2pix generative adversarial from scratch in TensorFlow, and use it to apply image-to-image translation of satellite images to maps.

By Bharath K

• 9 months ago

Featured public

Tutorial

Constructing Neural Networks From Scratch: Part 1

Learn how to construct neural networks from scratch with NumPy, and simultaneously see how the internal mechanisms behind popular libraries like PyTorch and Keras are implemented.

By Bharath K

• 10 months ago

Featured public

Tutorial

Implementing Conditional Generative Adversarial Networks

This tutorial examines how to construct and make use of conditional generative adversarial networks using TensorFlow on a Gradient Notebook.

By Bharath K

• 10 months ago

Featured public

Tutorial

Interpreting Computer Vision Models

In this tutorial, we look at various methodologies that facilitate and aid the interpretation of several computer vision models, including LIME, SHAP, Grad-CAM, Guided Grad-CAM, and Expected Gradients.