我使用tf.expandDims()添加尺寸.由于我能够进入model.fit(),但由于此错误而陷入困境无法进行训练,因为正在进行另一个fit()调用.并且无法读取未定义的属性“ length”.
你可以在这里找到我的代码

// Train the model using the data. 
let tesnor_dim =[];
let tensr;for(var j=0; j<2; j++){ 
console.log('resize_image',resize_image);
tensr = tf.expandDims(ysarr[j],0); 
tesnor_dim.push(tensr);
console.log('tesnor_dim',tesnor_dim);
    model.fit(resize_image[j],tesnor_dim[j],{epochs: 100}).then((loss) => {
         console.log('resize_image[j]',resize_image[j]);
         console.log('tesnor_dim[j]',tesnor_dim[j]);
         console.log('loss',loss);
         const t = model.predict(resize_image[j]);
         console.log('Prediction:::'+t);
         pred = t.argMax(1).dataSync(); // get the class of highest probability
                const labelsPred = Array.from(pred).map(e => setLabel[e])
                console.log('labelsPred:::'+labelsPred);
                //const saveResults = model.save('downloads://my-model-1');
                //console.log(saveResults);
            }).catch((e) => {
                console.log(e.message);
            })
            }