2020-12-27 Ng Enda-C5 Sequence Model-w1 Recurrent Sequence Model (after-school programming 1-Building your Recurrent Neural Network - Step by Step to build RNN)

Original link If you can't open it, you can also copy the link to https://nbviewer.jupyter.org to open it. Welcome to the first assignment for Sequence Models in Course 5. In this assignment, you will implement your first recurrent neural network in numpy. Recurrent Neural Networks (RNN s) are "memory" and are very effective in ...

Posted by dooper3 on Thu, 28 Apr 2022 17:48:21 +0300

Tensorflow - fast RCNN network (RPN training)

Tensorflow fast RCNN network (RPN training) (II) In Tensorflow - fast RCNN network (I) blog, I simply explained the principle of fast RCNN network. The following blogs will implement the code step by step~ Here, I still want to thank the two leaders for their selfless sharing, otherwise I may not know until now~ Reprint principle article l ...

Posted by cheerio on Thu, 28 Apr 2022 17:19:32 +0300

TensorFlow in simple terms

TensorFlow in simple terms 1, Overview 1. Comparison of common deep learning frameworks 2.TensorFlow introduction TF2. The 0 model uses the latest architecture diagram TensorFlow resource 3. Installation of tensorflow (version 2.0) 4.tf.keras introduction tf.keras and keras API tf.keras dataset 1,The d ...

Posted by nevvermind on Thu, 28 Apr 2022 04:45:35 +0300

20 lines of code: image classification and prediction can be easily done in Python under Serverless architecture

Author Jiang Yu preface Image classification is a hot topic in the field of artificial intelligence. Popular interpretation is an image processing method that distinguishes different types of targets according to the different characteristics reflected in the image information. It uses computer to quantitatively analyze the image, and clas ...

Posted by newbeee on Thu, 28 Apr 2022 00:00:39 +0300

Pattern Recognition and Neural Network Final Review Knowledge Arrangement

1. There is a set of gene chip data, the number of samples is 216, of which 90 are lung cancers, and the rest are normal people. The gene chip data dimension of each sample is 10500. Plan to use 2/3 of the data for training, and the rest for testing. 1) required to use GA The algorithm implementation chooses from 10 key genes related ...

Posted by maxmjessop on Wed, 27 Apr 2022 12:27:40 +0300

The transformation from pytoch model to Tensorflow model

Recently, in the research of Query2Title model, pytorch is generally used for rapid experiments in academic circles, but most of the deployment models in the industry are still deployed with tensorflow model. Maybe I'm too lazy. Haha, pytorch has been used for a long time. Tensorflow is a little rusty. I'm lazy to use it! As a result, online ...

Posted by somenoise on Wed, 27 Apr 2022 04:20:08 +0300

# AssertionError: The `num_classes` (80) in Shared2FCBBoxHead of MMDataParallel does not matche

I think many people have encountered this problem and many have been solved. I'll improve this blog post to make it easier for you to use mmdetection. mmdetection trains its own data set to report errors ⚠️ : # AssertionError: The `num_classes` (3) in Shared2FCBBoxHead of MMDataParallel does not matches the length of `CLASSES` 80) in CocoD ...

Posted by Spartan 117 on Tue, 26 Apr 2022 17:26:39 +0300

[hands on learning pytorch notes] 36 Transformer implementation

Transformer implementation Put the contents of the previous sections together, muti head attention, positive encoding import math import pandas as pd import torch from torch import nn from d2l import torch as d2l Position based feedforward network The name is very tall. In fact, it is a single hidden layer MLP #@save class PositionWi ...

Posted by natbrazil on Mon, 25 Apr 2022 20:16:13 +0300

Detailed explanation and Python implementation of deep knowledge tracking (DKT)

The development process of knowledge tracking was summarized before. In 2015, Chris Piech and others applied deep learning to knowledge tracking for the first time, with remarkable results. Since then, a large number of improved DKT models have emerged. The deep knowledge tracking model can realize the dynamic tracking of students' knowledge st ...

Posted by skippy111 on Mon, 25 Apr 2022 06:21:26 +0300

Win10-TensorRT-Yolov5-v5.0 Demo run notes

There are too many VS environment pits. I can't remember many errors. I summarize several important points: reference material: Deploy yolov5.0 using tensorRT 0—windows_Ring__Rain blog - CSDN blog_ tensorrt yolov5 win10 uses TensorRT to deploy yolov5-v4 0(C++)_ SongpingWang blog - CSDN blog Three tensorRT acceleration methods of Yolov ...

Posted by Vizionz on Sun, 24 Apr 2022 20:30:24 +0300