Accumulation of knowledge points # mnist_train[0][0].shape, mnist_train[0] represents the first sample in the MNIST training set, and [0] represents the first element of the sample. # In the MNIST dataset, each sample consists of a pair of input features and labels. Therefore, mnist_train[0] represents the first example, which contains the input features and labels. And […]
Tag: softmax
[Li Mu] 3.5, the implementation of softmax regression from 0
Notice: Treat each pixel position as a feature # import PyTorch library import torch # Import the display module from the IPython library for displaying content in an interactive environment from IPython import display # Import torch from the d2l.torch module as an alias of d2l, which is convenient for subsequent use of the functions […]
Implementation of softmax regression starting from 0
1. Personal theoretical understanding Softmax regression personally thinks that it should belong to multi-classification, that is, there are multiple outputs, and then the one with the highest probability is selected as the final prediction result. The conversion from w@x + b to probability needs to use the softmax function: The The formula can realize the […]
There is a bug in the Attention mechanism? Softmax is the culprit, affecting all Transformers
Source: Machine Heart PaperWeekly This article is about 2800 words, it is recommended to read for 6 minutes Statistical engineers discovered why reanformers are difficult to compress. “Mockup developers, you are wrong.” “I found a bug in the attention formula, and no one has discovered it for eight years. All Transformer models, including GPT and […]
There is a bug in the Attention mechanism? Softmax is the culprit, affecting all Transformers
?Author | Editorial Department of Heart of the Machine Source | Heart of the Machine “Mockup developers, you are wrong.” “I found a bug in the attention formula, and no one has discovered it for eight years. All Transformer models, including GPT and LLaMA, are affected.” Yesterday, the words of a statistical engineer named Evan […]
There is a bug in the Attention mechanism, and Softmax is the culprit, affecting all Transformers
Mockup developers, you are wrong! “I found a bug in the attention formula, and no one has discovered it for eight years. All Transformer models, including GPT and LLaMA, are affected.” Yesterday, the words of a statistical engineer named Evan Miller caused an uproar in the field of AI. We know that the attention formula […]
PyTorch Lecture 9 Softmax Classifier
Softmax classifier In multi-classification problems, we hope that the final output is a distribution, satisfying P ( the y = i ) ≥ 0 P(y=i)\geq0 P(y=i)≥0 and ∑ i = 0 no P ( the y = i ) = 1 \sum_{i=0}^nP(y=i)=1 ∑i=0n?P(y=i)=1, so we use Softmax instead of the previous Sigmoid P ( the […]
Multi Class Classfication – Softmax
Article directory Multi Class Classification Softmax Equation Loss & Cost Neural Network with Softmax output Improved Implements Round out Errors More numerically accurate implement of logistic loss More numerically accurate implement of softmax Multi Label Classification Adaptive Moment estimation Additional Layer Types Convolutional Layer refer to Multi Class Classification In the binary classification task, y […]
Hands-on learning of PyTorch (Li Mu) 2 —- SoftMax (with implementation code)
SoftMax Transition from regression to multiclassification Mean squared loss ? i is the predicted label y_hat, and the vector y is the one-hot code of the category ? What cares is not the actual value between them, but the confidence that the correct type is particularly large. That is, Oy-Oi is much larger than a […]
Softmax regression realizes handwritten digit recognition
Classification of handwritten digits 1-9 by logistic regression Objective: To understand the difference between softmax and sigmoid, Deepen understanding of logistic regression and softmax regression Knowledge points: one-hot encoding, softmax regression Data preprocessing + training set division import numpy as np import pandas as pd data = pd.read_csv(“./digits.csv”) data[:5] label pixel0 pixel1 pixel2 pixel3 pixel4 […]