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chapter 03 代码接口更新 #60

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294fe26
ops变更为mint
Y-yyyyq Dec 8, 2025
6b14420
ops变更为mint
Y-yyyyq Dec 8, 2025
19966cd
ops变更为mint,保留ops.assign
Y-yyyyq Dec 8, 2025
8bc78ee
ops变更为mint
Y-yyyyq Dec 8, 2025
f6e83c8
Update 3_image-classification-dataset.ipynb
Y-yyyyq Dec 8, 2025
286867f
ops变更为mint,保留ops.arange
Y-yyyyq Dec 8, 2025
aa48ce5
ops变更为mint
Y-yyyyq Dec 8, 2025
a12993d
将ops.arange替换为mint.arange
Y-yyyyq Jan 6, 2026
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1,044 changes: 107 additions & 937 deletions chapter_03_linear-networks/0_linear-regression.ipynb
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2,249 changes: 1,106 additions & 1,143 deletions chapter_03_linear-networks/1_linear-regression-scratch.ipynb
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82 changes: 41 additions & 41 deletions chapter_03_linear-networks/2_linear-regression-concise.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -2,14 +2,16 @@
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"sys.path.append('..')\n",
"\n",
"import numpy as np\n",
"import mindspore\n",
"import mindspore.dataset as ds\n",
"import mindspore.ops as ops\n",
"from mindspore import Tensor\n",
"from d2l import mindspore as d2l\n",
"\n",
Expand All @@ -20,7 +22,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -47,31 +49,37 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Tensor(shape=[10, 2], dtype=Float32, value=\n",
" [[ 1.73414111e-01, -1.24616718e+00],\n",
" [ 1.02213132e+00, -6.50639892e-01],\n",
" [ 1.30825520e+00, -1.22844315e+00],\n",
" ...\n",
" [-1.60054636e+00, 1.20353259e-01],\n",
" [ 7.61325806e-02, 7.83914328e-01],\n",
" [ 1.73925209e+00, -3.65485922e-02]]),\n",
" [[-0.22888152, 0.9795823 ],\n",
" [-0.6006927 , 2.0978146 ],\n",
" [-0.3551168 , 0.17106538],\n",
" [ 0.225816 , 0.89234185],\n",
" [ 0.7022703 , 0.37690485],\n",
" [ 0.09781982, 0.58985835],\n",
" [-1.6895691 , -0.71199685],\n",
" [-0.9362989 , 0.08117686],\n",
" [-1.1256968 , -0.26578853],\n",
" [-0.10324197, -0.25843388]]),\n",
" Tensor(shape=[10, 1], dtype=Float32, value=\n",
" [[ 8.76539135e+00],\n",
" [ 8.46442604e+00],\n",
" [ 1.09844027e+01],\n",
" ...\n",
" [ 6.07668221e-01],\n",
" [ 1.68395686e+00],\n",
" [ 7.80520296e+00]])]"
" [[ 0.39374894],\n",
" [-4.1332893 ],\n",
" [ 2.9085197 ],\n",
" [ 1.6274605 ],\n",
" [ 4.334508 ],\n",
" [ 2.3881655 ],\n",
" [ 3.2570887 ],\n",
" [ 2.0458496 ],\n",
" [ 2.8606327 ],\n",
" [ 4.8533044 ]])]"
]
},
"execution_count": 3,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -82,7 +90,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -95,7 +103,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -105,7 +113,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -114,7 +122,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -123,16 +131,16 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"epoch 1, loss 0.000214\n",
"epoch 2, loss 0.000108\n",
"epoch 3, loss 0.000108\n"
"..epoch 1, loss 0.000389\n",
"epoch 2, loss 0.000107\n",
"epoch 3, loss 0.000107\n"
]
}
],
Expand All @@ -154,16 +162,15 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"w的估计误差： [Tensor(shape=[], dtype=Float32, value= -0.00017786)\n",
" Tensor(shape=[], dtype=Float32, value= -0.000656366)]\n",
"b的估计误差： [-0.00027466]\n"
"w的估计误差： [-3.00407410e-05 -2.89583206e-04]\n",
"b的估计误差： [0.00088167]\n"
]
}
],
Expand All @@ -173,20 +180,13 @@
"b = net[0].bias.data\n",
"print('b的估计误差：', true_b - b)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:mindspore2.0]",
"display_name": "Python 3.10",
"language": "python",
"name": "conda-env-mindspore2.0-py"
"name": "py310"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -198,7 +198,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.15"
"version": "3.10.14"
}
},
"nbformat": 4,
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