neural_network.train(data)
optimizer.step()
loss.backward()
import torch
import tensorflow as tf
model = Sequential()
def forward(self, x):
  return self.layers(x)
class AI_Model(nn.Module):

Xinle Zhang

AI & Robotics Explorer

Active in Stockholm • Available for Collaboration
Machine Learning Autonomous Systems Computer Vision Robotics
0
AI Models
0
Training Hours
0
Projects