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Portuguese Translation
Leon Silva edited this page Oct 21, 2021
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12 revisions
- Try to pick up all of the files from the same week. Most of the time, EN files from the same week are homogeneous in writers, topics, and style. We wish to keep the structure consistent also in the PT files. Especially if the PT translations are authored by different people, try to keep the translation of terms, particularly the technical and mathematical ones, consistent throughout the files.
- Try to keep the translation of terms consistent with the #Terms table below. If you're unsure about a translation, ask on Slack, have no fear :)
- After having completed the review, create another Pull Request. Write the PR number in the Notes column of the workload distribution, like so "Reviewed (#000)". When the PR is approved, write Review approved in the same column.
File name | Translator | Start date | Publish date | Reviewers | PR | Notes |
---|---|---|---|---|---|---|
README.md |
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index.md |
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01.md |
[luis-sribeiro ] | |||||
01-1.md |
[luis-sribeiro ] | |||||
01-2.md |
[luis-sribeiro ] | |||||
01-3.md |
[luis-sribeiro ] | |||||
lecture01.sbv |
[luis-sribeiro ] | |||||
practicum01.sbv |
[luis-sribeiro ] | |||||
02.md |
[lnncrs] | |||||
02-1.md |
[lnncrs] | |||||
02-2.md |
[lnncrs] | |||||
02-3.md |
[lnncrs] | |||||
lecture02.sbv |
[lnncrs] | |||||
practicum02.sbv |
[lnncrs] | |||||
03.md |
[cmicelifarias] | |||||
03-1.md |
[cmicelifarias] | |||||
03-2.md |
[cmicelifarias] | |||||
03-3.md |
[cmicelifarias] | |||||
lecture03.sbv |
[cmicelifarias] | |||||
practicum03.sbv |
[cmicelifarias] | |||||
04.md |
[leonsolon] | |||||
04-1.md |
[leonsolon] | |||||
practicum04.sbv |
[leonsolon] | |||||
05.md |
[felipeschiavon] | |||||
05-1.md |
[felipeschiavon] | |||||
05-2.md |
[felipeschiavon] | |||||
05-3.md |
[felipeschiavon] | |||||
lecture05.sbv |
[felipeschiavon] | |||||
practicum05.sbv |
[felipeschiavon] | |||||
06.md |
[bernardolago] | |||||
06-1.md |
[bernardolago] | |||||
06-2.md |
[bernardolago] | |||||
06-3.md |
[bernardolago] | |||||
07.md |
[luis-sribeiro ] | |||||
07-1.md |
[luis-sribeiro ] | |||||
07-2.md |
[luis-sribeiro ] | |||||
07-3.md |
[luis-sribeiro ] | |||||
08.md |
[lnncrs] | |||||
08-1.md |
[lnncrs] | |||||
08-2.md |
[lnncrs] | |||||
08-3.md |
[lnncrs] | |||||
09.md |
[cmicelifarias] | |||||
09-1.md |
[cmicelifarias] | |||||
09-2.md |
[cmicelifarias] | |||||
09-3.md |
[cmicelifarias] | |||||
10.md |
[leonsolon] | |||||
10-1.md |
[leonsolon] | |||||
10-2.md |
[leonsolon] | |||||
10-3.md |
[leonsolon] | |||||
11.md |
[felipeschiavon] | |||||
11-1.md |
[felipeschiavon] | |||||
11-2.md |
[felipeschiavon] | |||||
11-3.md |
[felipeschiavon] | |||||
12.md |
[bernardolago] | |||||
12-1.md |
[bernardolago] | |||||
12-2.md |
[bernardolago] | |||||
12-3.md |
[bernardolago] | |||||
13.md |
[luis-sribeiro ] | |||||
13-1.md |
[luis-sribeiro ] | |||||
13-2.md |
[luis-sribeiro ] | |||||
13-3.md |
[luis-sribeiro ] | |||||
14.md |
[lnncrs] | |||||
14-1.md |
[lnncrs] | |||||
14-2.md |
[lnncrs] | |||||
14-3.md |
[lnncrs] |
Term | Translation |
---|---|
Class | |
Lecture | |
Practicum |
Term | Translation |
---|---|
activation | ativação |
activation function | função de ativação |
adaline | |
affine transformation | |
(artificial) neural network | redes neurais (artificiais) |
autoencoder | |
autonomous vehicles | veículos autônomos |
backpropagation | retropropagação |
batch normalization | normalização em lote |
bias | viés |
chain rule | regra da cadeia |
computer vision | visão computacional |
contrast normalization | |
convolution | convolução |
cost function | função de custo |
cybernetic | cibernético |
deep-learning | aprendizagem profunda |
dropout | |
embedding | |
energy-based model | |
ensemble | |
feature | característica |
fire (of neuron) | |
fully connected layer | camada totalmente conectada |
fully connected network | rede totalmente conectada |
gradient | gradiente |
gradient descent | gradiente descendente |
hidden layer | camada oculta |
hierarchical representation | representação hierárquica |
image classification | classificação de imagens |
image segmentation | segmentação de imagens |
inference | inferência |
Jacobian matrix | matriz jacobiana |
Jupyter Notebook | Notebook Jupyter |
label | rótulo |
lane tracking | |
latent space | espaço latente |
layer | camada |
layers | camadas |
lecture part A | aula parte A |
logistic regression | regressão logística |
loss function | função de custo |
Nash equilibrium | equilíbrio de Nash |
natural language understanding | |
natural language processing | processamento de linguagem natural |
nearest neighbor | vizinho mais próximo |
non-maximum suppression | |
norm | |
object detection | detecção de objetos |
one-hot | |
parameter | parâmetro |
pattern recognition | reconhecimento de padrões |
perceptron | |
pooling | |
practicum | |
recurrent neural networks | redes neurais recorrentes |
reflection | reflexão |
regularization | regularização |
rotation | rotação |
scaling | redimensionamento |
self-supervised learning | aprendizado semi-supervisionado |
scalar | escalar |
semantic segmentation | segmentação semântica |
shearing | |
softmax, soft (arg)max | |
speech recognition | reconhecimento de fala |
stochastic gradient descent | gradiente descendente estocástico |
supervised learning | aprendizado supervisionado |
tensor | tensor |
translation | tradução |
trajectory | trajetória |
unsupervised learning | aprendizado não supervisionado |
visual cortex | córtex visual |
weight | peso |
weighted sum |
Term | Explanation |
---|---|
actor critic | |
CNN | Convolutional Neural Network |
GAN | generative adversarial networks |
GPU | Graphic Processing Unit |
ReLU | Rectified linear unit |