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In view of the failure of many tutorials on training my data sets with yolov3 algorithm on the network, I decided to write one myself. Train in the latest version of pytorch. First, we should prepare our own data sets (that is, pictures), and then use our annotation tools to annotate them 1. Labeling tool (labelimg) Labelimg is an open sourc ...

During the process of integrating models into Deepstream Infer Plugin, there may be some problems. One of the problems that puzzles people is that after a model is integrated into Deepstream Infer Plugin, the accuracy of model reasoning decreases, which is worse than that of directly using python or C + + to call the original model or using Ten ...

Learning video source: link. Course summary Question: how to find the optimal value of weight As shown in the following figure, assuming that the initial value of W is the position of the red dot, how can we update w to approach the minimum value of the loss function The update algorithm is: Algorithm explanation: when the partial derivativ ...

Deep learning Basic knowledge and various network structures preface It is very important to learn a good framework for in-depth learning. Now the mainstream is pytoch and tf. Let's learn pytoch together today ! [insert picture description here]( https://img-blog.csdnimg.cn/25238d12cb8641b8bc38171559ab41e9.jpg#pic_center) 1, Basi ...

Category: General contents of TensorFlow2 function in simple terms Function: padded_batch(batch_size, padded_shapes=None, padding_values=None, drop_remainder=False,name=None) This function can merge the continuous elements of the dataset into the padded batch. Merge multiple consecutive elements of the input dataset into a single element. ...

Tensor detach() This is used when you want to freeze some parameters in the network model and do not participate in training. And it will return a new tensor. y = x.detach() In this case, y and X share the same memory, that is, one will change and the other will change. At this point, X can still take its derivative normally. So x = x.deta ...

Original link: http://tecdat.cn/?p=2687Original source: Tuo end data tribal official accountWhat is MCMC and when to use it?MCMC is just an algorithm for sampling from distribution.This is just one of many algorithms. This term stands for "Markov chain Monte Carlo" because it is a "Monte Carlo" (i.e. random) method using &qu ...

Preparation stage Step 1: create a Notebook model task step1: enter the BML home page and click use now 🔗: https://ai.baidu.com/bml/ Step 2: click the Notebook to create a "general task" step3: fill in task information Step 2: download the task operation template Download link: https://aistudio.baidu.com/aistudio/datas ...

Introduction: This is Models and layers in Paddle Learning notes. For the construction and operation of the layer in the pad, the preliminary test and related learning are carried out. Key words: Layer, cushion   § 01 model and layer   model is one of the important concepts in deep learning. The core function o ...

Supervised learning is a traditional method of training machine learning model. During training, every observed data needs to be labeled. What if we had a way to train machine learning models without collecting labels? What if we extract tags from the same data collected? This type of learning algorithm is called self supervised learning. This ...