[beginners learn PyTorch tutorial] I. Basic operation of PyTorch
@Author: Runsen
What is PyTorch?
This is a Python based scientific computing package for two groups of audiences:
NumPy is an alternative to take advantage of the power of GPU. Provide a deep learning research platform with maximum flexibility and speed.
tensor
Tensors are similar to NumPy's n-dimensional array. In addition, tensors ca ...
Added by MishieMoo on Mon, 31 Jan 2022 07:12:12 +0200
"Mini tutorial" how to use the time distribution layer correctly under LSTM network
The time distributed layer is a sequence rather than a single value that needs to be returned by the LSTM layer in the Keras interface.
What is the time distributed layer
The added complexity is the TimeDistributed layer (and the previous TimeDistributedDense layer), which is mysteriously described as a layer wrapper that allows us to app ...
Added by jeffrydell on Sun, 30 Jan 2022 06:16:46 +0200
ubuntu 18.04 reproducing OpenPCDet training evaluation visual loss function from scratch
ubuntu 18.04 reproducing OpenPCDet
preface:
I've installed NVIDIA 460 91.03 driver, and cuda 10.1 is also installed. However, because spconv (giant pit Library) needs to be installed in OpenPCDet, cuda above 10.2 can only pip install spconv of version 2.0, otherwise the old version of spconv is too difficult to install (countless pits). There ...
Added by webslinger on Sun, 30 Jan 2022 01:25:52 +0200
Transformation of dimensions
view and reshape operations
The functions and usage of the two are the same, but it is necessary to ensure that the overall size of the view remains unchanged, that is, numel () is consistent
view operation will lose dimension information. Remember the storage order of data
a = torch.rand(4,1,28,28)
b = a.view(4,28*28) #Two dimens ...
Added by Scifa on Sat, 29 Jan 2022 20:20:20 +0200
Introduction to PyTorch | DATSETS & DATALOADERS
Python wechat ordering applet course video
https://edu.csdn.net/course/detail/36074
Python actual combat quantitative transaction financial management system
https://edu.csdn.net/course/detail/35475 The code used to process data samples may become messy and difficult to maintain; Ideally, we want to decouple the dataset code from the model t ...
Added by bhavin12300 on Sat, 29 Jan 2022 05:27:48 +0200
[RL] Q learning algorithm based on neural network (deep learning) (DQN)
DQN introduction
DQN(Deep Q-Learning)It is the combination of deep learning and reinforcement learning Q-table He is too big to build words to use DQN Is a good choice.
DQN algorithm mainly uses experience replay (experience pool) to realize the convergence of value function. The Deep Q-learning method is used to iteratively update Q (s, ...
Added by daz_effect on Fri, 28 Jan 2022 20:08:16 +0200
Pre trained word embedding is used in Keras model
The original address is here.
What is word embedding?
Word embedding is a series of natural language processing technologies aimed at mapping semantics to geometric space. This is done by associating a number vector with each word in the dictionary, so that the distance between any two vectors (such as L2 distance or more commonly cosine d ...
Added by FatStratCat on Fri, 28 Jan 2022 13:03:54 +0200
Introduction to machine learning for programmers - Introduction to pytorch and matrix calculation
Artificial intelligence learning is inseparable from the verification of practice. It is recommended that you can learn more in Flyai AI competition service platform Take part in more training and competitions to improve your ability. FlyAI is a one-stop service platform that provides AI developers with data competition and supports GPU offli ...
Added by Residue on Fri, 28 Jan 2022 05:38:01 +0200
Notes on understanding TensorFlow - Chapter 3.2 data carrier: tensor
In order to define the mathematical expression more conveniently and describe the mathematical model more accurately, TF uses Tensor to represent all data uniformly. In the actual calculation formula, that is, the transformation process of the expression, the data in the expression corresponding to the model is carried by the Tensor. Provide ...
Added by soadlink on Fri, 28 Jan 2022 05:05:25 +0200
caffe installation from darknet to caffmodal of Hisilicon Hi3519AV100 deep learning scheme (based on Ubuntu 16.04 + Python 3.5 + opencv3.4.0 + cuda10.0)
Article catalogue
preface
Reference blog https://blog.csdn.net/tingtie1438/article/details/82085199 Ubuntu16. Python 3.04 system 5+caffe+opencv3. 4.0+cudnn7. 0+cuda9. 0 installation process (detailed arrangement of the whole process) https://blog.csdn.net/qq_42998120/article/details/105567998 ubuntu16. Installation and version correspondence ...
Added by Quevas on Thu, 27 Jan 2022 04:49:55 +0200