By Machine Learning Mastery -
2019-01-17
Batch normalization is a technique designed to automatically standardize the inputs to a layer in a deep learning neural network. Once implemented, batch normalization has the effect of dramatically a ...
By Medium -
2021-02-02
How to outperform the benchmark in clothes recognition with fastai and DeepFashion Dataset. How to use fastai models in PyTorch. Code, explanation, evaluation on the user data.
By DeepAI -
2020-11-19
11/19/20 - We present a new generative autoencoder model with dual contradistinctive
losses to improve generative autoencoder that performs s...
By Medium -
2020-10-05
Multi-layer Perceptrons (MLPs) are standard neural networks with fully connected layers, where each input unit is connected with each output unit. We rarely use these kind of layers when working with…
By Medium -
2020-12-02
Semantic segmentation is the task of predicting the class of each pixel in an image. This problem is more difficult than object detection…
By MachineCurve -
2021-02-02
Explanations and code examples showing you how to use K-fold Cross Validation for Machine Learning model evaluation/testing with PyTorch.
