pytorch model container - modular construction of deep learning network
pytorch model container summary
The model containers provided by pytorch include: nn.Sequential: contains multiple network layers in order nn.ModuleList: contains multiple network layers in the form of a list nn.ModuleDict: contains multiple network layers in the fo ...
Posted on Tue, 21 Sep 2021 21:29:23 -0400 by mattcairns
Overview of data processing in deep learning
Three elements of deep learning: data, computing power and algorithm In engineering practice, the importance of data has attracted more and more attention. In the data science community, there is a saying that "data determines the upper limit of the model, and algorithm determines the lower lim ...
Posted on Mon, 20 Sep 2021 21:38:27 -0400 by ven.ganeva
pytorch framework learning
1: Linear region, Logistic Regression, Softmax Classifier
1. Model inheritance and construction
from torch.autograd import Variable
# data define(3*1)
x_data = Variable(torch.Tensor([[1.0], [2.0], [3.0]]))
y_data = Variable(torch.Tensor([[2.0], [4.0], [6.0]]))
# model class
class Model(torch.nn.Mo ...
Posted on Mon, 20 Sep 2021 10:32:12 -0400 by ozman26
Dict type is not only widely used in various programs, but also the cornerstone of Python language. The dictionary can be seen in the namespace of the module, the attributes of the instance and the keyword parameters of the function. The built-in functions related to it are__ builtins__.__dict__ Module.
All mapping types in the standard libra ...
Posted on Sun, 19 Sep 2021 11:50:31 -0400 by lprocks
Big picture neural network
After reading the graph neural network for a long time, I have learned a little from ignorance. Today, I want to express some thoughts on feature integration (aggregation) of graph neural networks such as GCN, GraghSAGE and GAT. On the one hand, it will enable more people to learn the essence of graph neural netw ...
Posted on Sat, 18 Sep 2021 02:14:35 -0400 by IndianaRogers
In deep learning, we usually operate on data frequently. As the basis of hands-on and in-depth learning, this section will introduce how to operate the data in memory.
In PyTorch, torch.Tensor is the main tool for storing and transforming data. If you have used NumPy before, you will find that tensor and NumPy's multidimensional arrays are ...
Posted on Thu, 16 Sep 2021 20:52:34 -0400 by kf
Neural networks consist of layers / modules that perform operations on data. The torch.nn namespace provides all the building blocks needed to build your own neural network. Each module in PyTorch is a subclass of nn.Module. Neural network is a module itself, which is composed of other modules (layers). This nested structure allow ...
Posted on Mon, 13 Sep 2021 14:15:15 -0400 by Fuzzylr
Fine-tuning pre-training model
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Description: Some articles translate token, Tokenizer, Tokenization into tokens, tokens, and tokenization.Although in a sense more accurate, but the author feel that it is not simple and direct enough, not enough image.Therefore, s ...
Posted on Mon, 06 Sep 2021 13:07:59 -0400 by imstupid