Our main looks like this so far:
func main() { imgs, err := readImageFile(os.Open("train-images-idx3-ubyte")) if err != nil { log.Fatal(err) } labels, err := readLabelFile(os.Open("train-labels-idx1-ubyte")) if err != nil { log.Fatal(err) } log.Printf("len imgs %d", len(imgs)) data := prepareX(imgs) lbl := prepareY(labels) visualize(data, 10, 10, "image.png") data2, err := zca(data) if err != nil { log.Fatal(err) } visualize(data2, 10, 10, "image2.png") nat, err := native.MatrixF64(data2.(*tensor.Dense)) if err != nil { log.Fatal(err) } log.Printf("Start Training") nn := New(784, 100, 10) costs := make([]float64, 0, data2.Shape()[0]) for e := 0; e < 5; e++ { data2Shape := data2.Shape() var oneimg, onelabel tensor.Tensor ...
