Introduction to Seq2Seq Translators with PyTorch
Neural Machine Translation is the practice of using Deep Learning to generate an accurate translation of text from one language to another.
2 years ago
Neural Network
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PyTorch
PyTorch Loss Functions
Follow this guide to learn about the various loss functions available to use with PyTorch neural networks, and see how you can directly implement a custom loss function in their stead.
2 years ago
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Tutorial
Writing LeNet5 from Scratch in PyTorch
Follow this tutorial to see how to create your own LeNet5 neural net from scratch using PyTorch on Gradient!
By
Nouman
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Tutorial
WGAN: Wasserstein Generative Adversarial Networks
Wasserstein GANs are an innovative improvement to traditional GANs. Use this guide to learn hands on how to create your own WGAN from scratch!
By
Bharath K
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TensorFlow
Checkpointing in TensorFlow
Follow this guide to learn how to directly monitor and checkpoint your models during the training process!
2 years ago
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GAN
Face Generation with GANs
A primer for developing a custom neural network to learn to generate novel facial images using Deep Convolutional generative adversarial networks.
By
Bharath K
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PyTorch
The Ultimate Guide To PyTorch
Interested in getting started with Deep Learning? This guide shows you how to get started with PyTorch, tensors, and constructing Neural Networks with PyTorch.
By
Bharath K
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Optimization
Improving Model Accuracy with Transfer Learning, Data Augmentation, LR Finder, and Much More
Learn how to improve your models with transfer learning, data augmentation, LR Finder, and much more using this hands on guide with image classification.
3 years ago
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Artificial Intelligence
Introduction to Autonomous Vehicle Theory
Autonomous vehicles are on of the most exciting, up-and-coming applications of deep learning to hit the public. In this guide, you will learn about the theory behind these vehicles and the relevant ML tools leveraged to make them work.
3 years ago
