3/31/2024 0 Comments Cat weight tracker templatingThe following is the 【loss curve】 from the 7th to the 12th. From the 6th to the 12th training, the weight B still did not change and remained at -0.5233551. But in the sixth training, the weight B did not change. It can be seen that in the first five training, the value of weight B has been changing. Determine your daily weight objectives, and Weight Loss Tracker will auto-update your weight loss and BMI (shown as a percentage towards your goal). The model was trained 12 times (manual training), and the above 6 images were obtained. Check out the Weight Loss Tracker if trimming down is the aim of your training. I only select a certain weight parameter(I call it weight B) in the model and observe the change of its value in the process of updating.Īfter the end of each time model training, I will draw the change of weight into a graph. Note: for each epoch, the parameter is updated 1180 times. SmartScale uses an advanced algorithm to determine which cat is using Litter-Robot 4. I get the change of the weight parameter value in each epoch. I didn’t change the original code, I just ran it again. This time I set 【epoch = 1】, manual training. I don’t know how to use clone properly (this time I’m not going to delve into this one), so my choice is: clear all variables, restart the program, and restart training. However, the value of 【loss】 decreased normally.I don’t know why the value of the weight 【b】 is not updated. Print('Epoch: ', epoch, '| Step: ', i, '| loss: ',wc_loss)įor name, param in NET.named_parameters():ī.append(parm)īut the result of 【b】is always repeated,same result every updata,like this.( note:The first convolution layer is conv1d,Ĭonv1d(1,3,kernel=3)) ], Print('Epoch:', epoch + 1, 'Training.')įor i, (batch_x, batch_y) in enumerate(loader): You can create exercise records in the daily database, and select the corresponding exercise. You can view the progress of the goal in the goal management database. I want to get the weight parameters of the first level convolution, for epoch in range(EPOCH): You need to fill in the target weight in the weight database, and fill in the current weight in the daily record to automatically generate a weight trend. Hi,I have a question about this.Here is the code for my training phase.
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