人工智能实战与应用课程。本课程通过系统化讲授与实践,带领大家深入系统地掌握人工智能技术的应用,包括但不限于图像识别、python、迁移学习、高等数学等等。
人工智能实战与应用课程40.14GB
1.高等数学—元素和极限816.74MB
1.1.mp448.48MB
1.2.mp465.34MB
1.3.mp462.22MB
1.4.mp435.12MB
1.5.mp460.03MB
1.6.mp460.49MB
1.7.mp473.55MB
1.8.mp471.26MB
1.9.mp439.37MB
1.10.mp476.49MB
1.11.mp462.06MB
1.12.mp455.25MB
1.13.mp441.44MB
1.14.mp465.65MB
2.高等数学—两个重要的极限定理261.29MB
2.1.mp465.18MB
2.2.mp464.85MB
2.3.mp443.42MB
2.4.mp441.46MB
2.5.mp446.38MB
3.高等数学—导数564.97MB
3.1.mp464.93MB
3.2.mp474.47MB
3.3.mp434.12MB
3.4.mp444.05MB
3.5.mp448.12MB
3.6.mp427.87MB
3.7.mp443.06MB
3.8.mp488.67MB
3.9.mp474.51MB
3.10.mp465.17MB
4.高等数学—泰勒展开327.39MB
4.1.mp465.06MB
4.2.mp443.97MB
4.3.mp478.79MB
4.4.mp442.91MB
4.5.mp496.66MB
5.高等数学—偏导数234.45MB
5.1.mp458.13MB
5.2.mp456.35MB
5.3.mp4119.97MB
6.高等数学—积分261.04MB
6.1更多免费资源请访问.mp436.05MB
6.2.mp488.54MB
6.3.mp475.07MB
6.4.mp461.38MB
7.高等数学—正态分布311.36MB
7.1.mp479.75MB
7.2.mp455.31MB
7.3.mp449.08MB
7.4.mp471.9MB
7.5.mp455.32MB
8.线性代数—线性空间和线性变换889.97MB
8.1.mp457.44MB
8.2.mp428.7MB
8.3.mp471.53MB
8.4.mp428.29MB
8.5.mp485.23MB
8.6.mp475.79MB
8.7.mp450.64MB
8.8.mp443.01MB
8.9.mp468.08MB
8.10.mp486.84MB
8.11.mp459MB
8.12.mp490.03MB
8.13.mp448.17MB
8.14.mp497.21MB
9.线性代数—矩阵、等价类和行列式938.83MB
9.1.mp451.53MB
9.2.mp453.18MB
9.3.mp4109.84MB
9.4.mp4115.1MB
9.5.mp436.66MB
9.6.mp4109.1MB
9.7.mp467.67MB
9.8.mp455.66MB
9.9.mp450.68MB
9.10.mp498.07MB
9.11.mp445.14MB
9.12.mp462.21MB
9.13.mp483.99MB
10.线性代数—特征值与特征向量784.73MB
10.1.mp446.79MB
10.2.mp456.15MB
10.3.mp458.97MB
10.4.mp467.5MB
10.5.mp4114.34MB
10.6.mp427.17MB
10.7.mp479.18MB
10.8.mp452.94MB
10.9.mp453.11MB
10.10.mp446.13MB
10.11.mp446.27MB
10.12.mp477.13MB
10.13.mp440.22MB
10.14.mp418.82MB
11.Python基础课程(上)673.32MB
11.1.mp448.29MB
11.2.mp462.22MB
11.3.mp447.61MB
11.4.mp431.95MB
11.5.mp435.32MB
11.6.mp432.04MB
11.7.mp440.77MB
11.8.mp432.75MB
11.9.mp450.05MB
11.10.mp465.1MB
11.11.mp438.82MB
11.12.mp459.56MB
11.13.mp433.36MB
11.14.mp445.63MB
11.15.mp449.85MB
12.Python基础课程(下)592.31MB
12.1.mp457.2MB
12.2.mp451.21MB
12.3.mp426.2MB
12.4.mp439.64MB
12.5.mp440.66MB
12.6.mp438.69MB
12.7.mp446.92MB
12.8.mp428.94MB
12.9.mp438.9MB
12.10.mp444.04MB
12.11.mp451.39MB
12.12.mp446.49MB
12.13.mp441.66MB
12.14.mp440.38MB
13.Python操作数据库、 Python爬虫1.24GB
13.1.mp437.48MB
13.2.mp475.27MB
13.3.mp472.09MB
13.4.mp440.29MB
13.5.mp470.01MB
13.6.mp465.12MB
13.7.mp432.1MB
13.8.mp464.1MB
13.9.mp455.4MB
13.10.mp462.52MB
13.11.mp437.05MB
13.12.mp477.66MB
13.13.mp4114.85MB
13.14.mp4150.75MB
13.15.mp498.85MB
13.16.mp494.75MB
13.17.mp4116.94MB
14.Python进阶(上)706.58MB
14.1.mp448.02MB
14.2.mp440.16MB
14.3.mp443.41MB
14.4.mp429.78MB
14.5.mp445.94MB
14.6.mp441.25MB
14.7.mp466.76MB
14.8.mp456.32MB
14.9.mp461.22MB
14.10.mp442.12MB
14.11.mp455.7MB
14.12.mp461.55MB
14.13.mp438.22MB
14.14.mp476.12MB
15.Python进阶(下)422.21MB
15.1.mp447.41MB
15.2.mp433.33MB
15.3.mp434.69MB
15.4.mp443.93MB
15.5.mp441.86MB
15.6.mp432.62MB
15.7.mp458.79MB
15.8.mp463.46MB
15.9.mp466.13MB
16.人工智能如何改变我们的未来生活434.95MB
16.1.mp438MB
16.2.mp454.02MB
16.3.mp441.16MB
16.4.mp430.23MB
16.5.mp432.1MB
16.6.mp456.75MB
16.7.mp452.69MB
16.8.mp455.56MB
16.9.mp436.22MB
16.10.mp438.21MB
17.人工智能简史450.45MB
17.1.mp432.07MB
17.2.mp433.47MB
17.3.mp437.76MB
17.4.mp451.86MB
17.5.mp443.35MB
17.6.mp443.9MB
17.7.mp427.2MB
17.8.mp430.02MB
17.9.mp445.6MB
17.10.mp454.3MB
17.11.mp450.93MB
18.让神经网络看懂图象580.06MB
18.1.mp466.42MB
18.2.mp445.41MB
18.3.mp460.43MB
18.4.mp467.66MB
18.5.mp435.27MB
18.6.mp458.49MB
18.7.mp486.1MB
18.8.mp443.11MB
18.9.mp429.43MB
18.10.mp445.69MB
18.11.mp442.06MB
19.模拟人类大脑:神经网络的故事420.69MB
19.1.mp445.98MB
19.2.mp437.02MB
19.3.mp438.91MB
19.4.mp439.07MB
19.5.mp432.29MB
19.6.mp430.75MB
19.7.mp430.03MB
19.8.mp471.36MB
19.9.mp447.56MB
19.10.mp447.71MB
20.预测简史755.64MB
20.1.mp478.42MB
20.2.mp443.19MB
20.3.mp456.07MB
20.4.mp4270.24MB
20.5.mp466.04MB
20.6.mp476.25MB
20.7.mp463.63MB
20.8.mp472.89MB
20.9.mp428.9MB
21.模拟人类思维的机器学习工具431.42MB
21.1.mp462.08MB
21.2.mp439.33MB
21.3.mp449.16MB
21.4.mp442.23MB
21.5.mp469.39MB
21.6.mp444.36MB
21.7.mp446.89MB
21.8.mp430.22MB
21.9.mp447.77MB
22.让神经网络听懂故事633.59MB
22.1.mp456.76MB
22.2.mp459.39MB
22.3.mp446.02MB
22.4.mp475.99MB
22.5.mp443.61MB
22.6.mp455.4MB
22.7.mp475.87MB
22.8.mp455.58MB
22.9.mp469.99MB
22.10.mp439.47MB
22.11.mp455.5MB
23让机器来思考之强化学习简介578.2MB
23.1.mp450.72MB
23.2.mp445.21MB
23.3.mp432.08MB
23.4.mp448.78MB
23.5.mp443.59MB
23.6.mp462.27MB
23.7.mp455.3MB
23.8.mp477.03MB
23.9.mp452.55MB
23.10.mp459.66MB
23.11.mp451.01MB
24.贝叶斯理论785.8MB
24.1.mp454.14MB
24.2.mp461.34MB
24.3.mp457.43MB
24.4.mp460.5MB
24.5.mp451.16MB
24.6.mp485.2MB
24.7.mp469.69MB
24.8.mp475.58MB
24.9.mp433.66MB
24.10.mp454.77MB
24.11.mp471.58MB
24.12.mp4110.72MB
25.朴素贝叶斯和最大似然估计746.78MB
25.1.mp472.33MB
25.2.mp452.23MB
25.3.mp476.83MB
25.4.mp435.42MB
25.5.mp449.14MB
25.6.mp464.14MB
25.7.mp436.45MB
25.8.mp472.7MB
25.9.mp463.42MB
25.10.mp4103.38MB
25.11.mp439.84MB
25.12.mp480.93MB
26.机器学习引入257.77MB
26.1.mp418.49MB
26.2.mp424.33MB
26.3.mp420.62MB
26.4.mp447.27MB
26.5.mp412.78MB
26.6.mp449.49MB
26.7.mp447.41MB
26.8.mp437.39MB
27.分类问题250.67MB
27.1.mp423.07MB
27.2.mp422.62MB
27.3.mp435.97MB
27.4.mp430.55MB
27.5.mp430.08MB
27.6.mp432.23MB
27.7.mp421.91MB
27.8.mp454.24MB
28.KNN算法165.97MB
28.1.mp426.48MB
28.2.mp446.74MB
28.3.mp440.61MB
28.4.mp452.13MB
29.机器学习背后的数学(上)396.07MB
29.1.mp422.67MB
29.2.mp424.47MB
29.3.mp445.07MB
29.4.mp439.04MB
29.5.mp433.97MB
29.6.mp428.62MB
29.7.mp457.08MB
29.8.mp451.41MB
29.9.mp449.71MB
29.10.mp444.02MB
30.机器学习背后的数学(下)372.92MB
30.1.mp438.25MB
30.2.mp435.75MB
30.3.mp430.89MB
30.4.mp444.22MB
30.5.mp446.85MB
30.6.mp477.12MB
30.7.mp499.85MB
31.加入概率更健康之逻辑斯蒂回归442.11MB
31.1.mp430.89MB
31.2.mp438.31MB
31.3.mp447.2MB
31.4.mp446.02MB
31.5.mp443.18MB
31.6.mp427MB
31.7.mp466.81MB
31.8.mp491.58MB
31.9.mp451.11MB
32.模拟人类理性的决策树412.68MB
32.1.mp435.31MB
32.2.mp441.25MB
32.3.mp457.24MB
32.4.mp428.21MB
32.5.mp460.56MB
32.6.mp478.72MB
32.7.mp444.2MB
32.8.mp467.19MB
33.集群模型161.28MB
33.1.mp418.5MB
33.2.mp418.06MB
33.3.mp427.23MB
33.4.mp434.8MB
33.5.mp426.3MB
33.6.mp436.39MB
34.PCA189.52MB
34.1.mp451.3MB
34.2.mp426.58MB
34.3.mp453.73MB
34.4更多免费资源请访问.mp457.92MB
35.升维大法之神经网络209.59MB
35.1.mp425.26MB
35.2.mp433.75MB
35.3.mp419.94MB
35.4.mp433.25MB
35.5.mp443.6MB
35.6.mp453.79MB
36.升维大法之SVM263.37MB
36.1.mp428.53MB
36.2.mp433.9MB
36.3.mp429.48MB
36.4.mp427.83MB
36.5.mp429.28MB
36.6.mp427.38MB
36.7.mp418.67MB
36.8.mp436.33MB
36.9.mp431.97MB
37.多层感知机DNN113.44MB
37.1.mp419.1MB
37.2.mp436.14MB
37.3.mp436.86MB
37.4.mp421.33MB
38.梯度下降法148.89MB
38.1.mp425.01MB
38.2.mp421.03MB
38.3.mp424.2MB
38.4.mp416.4MB
38.5.mp419.71MB
38.6.mp442.55MB
39.BP算法118.97MB
39.1.mp425.4MB
39.2.mp421.68MB
39.3.mp419.19MB
39.4.mp425.49MB
39.5.mp427.21MB
40.卷积神经网络298.33MB
40.1.mp421.51MB
40.2.mp425.57MB
40.3.mp448.08MB
40.4.mp429.31MB
40.5.mp436.5MB
40.6.mp446.54MB
40.7.mp435.19MB
40.8.mp431.78MB
40.9.mp423.85MB
41.PyTorch(上)580.03MB
41.1.mp457.04MB
41.2.mp450.85MB
41.3.mp452.43MB
41.4.mp469.96MB
41.5.mp443.78MB
41.6.mp465.95MB
41.7.mp4142.7MB
41.8.mp497.32MB
42.PyTorch(下)543.93MB
42.1.mp444.73MB
42.2.mp446.11MB
42.3.mp421.81MB
42.4.mp465.71MB
42.5.mp436.47MB
42.6.mp475.03MB
42.7.mp441.17MB
42.8.mp417.05MB
42.9.mp420.95MB
42.10.mp433.45MB
42.11.mp444.26MB
42.12.mp497.18MB
N进化204.43MB
43.1.mp454.88MB
43.2更多免费资源请访问.mp428.25MB
43.3.mp442.73MB
43.4.mp434.22MB
43.5.mp444.34MB
44.BatchNormalization105.12MB
44.1.mp422.11MB
44.2.mp427.13MB
44.3.mp427.41MB
44.4.mp428.47MB
45.Resnet残差网络616.75MB
45.1.mp460.67MB
45.2.mp436.65MB
45.3.mp462.58MB
45.4.mp433.8MB
45.5.mp479.8MB
45.6.mp479.35MB
45.7.mp493.78MB
45.8.mp485.72MB
45.9.mp484.4MB
46.图像识别综述185.23MB
46.1.mp425.35MB
46.2.mp436.2MB
46.3.mp436.72MB
46.4.mp439.25MB
46.5.mp419.92MB
46.6.mp427.77MB
47.迁移学习682.39MB
47.1.mp418.51MB
47.2.mp425.17MB
47.3.mp483.49MB
47.4.mp492.63MB
47.5.mp478.63MB
47.6.mp468.61MB
47.7.mp475.37MB
47.8.mp4109.84MB
47.9.mp441.92MB
47.10.mp428.79MB
47.11.mp436.18MB
47.12.mp423.26MB
48.对抗网络197.46MB
48.1.mp421.03MB
48.2.mp430.93MB
48.3.mp422.53MB
48.4.mp438.29MB
48.5.mp424.58MB
48.6.mp427.43MB
48.7.mp432.66MB
49.时间序列分析693.02MB
49.1.mp452.55MB
49.2.mp479.95MB
49.3.mp451.16MB
49.4.mp487.54MB
49.5.mp483.99MB
49.6.mp456.47MB
49.7.mp468.62MB
49.8.mp485.97MB
49.9.mp458.79MB
49.10.mp467.99MB
50.RNN531.36MB
50.1.mp429.72MB
50.2.mp430.7MB
50.3.mp450.01MB
50.4.mp427.92MB
50.5.mp450.4MB
50.6.mp421.41MB
50.7.mp436.43MB
50.8.mp430.7MB
50.9.mp433.39MB
50.10.mp424.2MB
50.11.mp449.01MB
50.12.mp460.05MB
50.13.mp455.3MB
50.14.mp432.12MB
51.RNN实战642.95MB
51.1.mp462.87MB
51.2.mp465.61MB
51.3.mp4107.75MB
51.4.mp476.26MB
51.5.mp446.52MB
51.6.mp437.73MB
51.7.mp470.98MB
51.8.mp494.11MB
51.9.mp481.12MB
52.RNN时间序列预测403.44MB
52.1.mp440.22MB
52.2.mp448.64MB
52.3.mp434.74MB
52.4.mp452.07MB
52.5.mp436.32MB
52.6.mp472.79MB
52.7.mp435.08MB
52.8.mp483.58MB
53.RNN深度理解259.38MB
53.1.mp426.83MB
53.2.mp419.34MB
53.3.mp424.94MB
53.4.mp414.18MB
53.5.mp423.63MB
53.6.mp428.08MB
53.7.mp421.9MB
53.8.mp421.52MB
53.9.mp424.38MB
53.10.mp423.64MB
53.11.mp430.93MB
54.课程总结109.84MB
54.1.mp419.91MB
54.2.mp426.06MB
54.3.mp423.66MB
54.4.mp420.98MB
54.5.mp419.24MB
55.强化学习(上)535.35MB
55.1.mp441.21MB
55.2.mp426.04MB
55.3.mp444.28MB
55.4.mp440.37MB
55.5.mp438.68MB
55.6.mp422.54MB
55.7.mp429.65MB
55.8.mp445.83MB
55.9.mp434.24MB
55.10.mp435.24MB
55.11.mp450.46MB
55.12.mp442.78MB
55.13.mp426.64MB
55.14.mp457.39MB
56.强化学习(下)654.63MB
56.1.mp440.3MB
56.2.mp456.84MB
56.3.mp421.21MB
56.4.mp456.17MB
56.5.mp456.9MB
56.6.mp429.64MB
56.7.mp423.21MB
56.8.mp471.11MB
56.9.mp430.08MB
56.10.mp419.58MB
56.11.mp437.56MB
56.12.mp437.37MB
56.13.mp439.73MB
56.14.mp439.56MB
56.15.mp427.58MB
56.16.mp467.79MB
57.Value Iteration Networks124.62MB
57.1.mp430.47MB
57.2.mp425.65MB
57.3.mp432.42MB
57.4.mp436.08MB
58.计算机视觉深度学习入门目的篇2.03GB
58.1.mp4339.27MB
58.2.mp4399.12MB
58.3.mp4225.82MB
58.4.mp4164.27MB
58.5.mp4436.01MB
58.6.mp4134.33MB
58.7.mp4381.59MB
59.计算机视觉深度学习入门结构篇3.77GB
59.1.mp4417.96MB
59.2.mp4161.75MB
59.3.mp4244.1MB
59.4.mp4242.91MB
59.5.mp4356.8MB
59.6.mp4356.28MB
59.7.mp4265.94MB
59.8.mp4444.82MB
59.9.mp4235.69MB
59.10.mp4264.74MB
59.11.mp4218.43MB
59.12.mp4300.36MB
59.13.mp4347.91MB
60.计算机视觉深度学习入门优化篇2.02GB
60.1.mp4223.15MB
60.2.mp4448.29MB
60.3.mp4210.3MB
60.4.mp4374.42MB
60.5.mp4427.22MB
60.6.mp4387.29MB
61.计算机视觉深度学习入门数据篇1.03GB
61.1.mp4331.6MB
61.2.mp4296.25MB
61.3.mp4236.96MB
61.4.mp4193.46MB
62.计算机视觉深度学习入门工具篇767.1MB
62.1.mp4278.89MB
62.2.mp4322.51MB
62.3.mp4165.7MB
63.Scikit-Learn483.11MB
63.1.mp445.82MB
63.2.mp419.13MB
63.3.mp460.74MB
63.4.mp495.39MB
63.5.mp458.56MB
63.6.mp439.09MB
63.7.mp434.04MB
63.8.mp476.65MB
63.9.mp453.69MB
64.数据呈现基础334.43MB
64.1.mp481.77MB
64.2.mp423.69MB
64.3.mp435.5MB
64.4.mp436.15MB
64.5.mp451.8MB
64.6.mp439.93MB
64.7.mp431.31MB
64.8.mp434.29MB
65.数据呈现进阶991.45MB
65.1.mp437.31MB
65.2.mp457.59MB
65.3.mp4109.29MB
65.4.mp468.46MB
65.5.mp468.96MB
65.6.mp478.23MB
65.7.mp444.83MB
65.8.mp464.24MB
65.9.mp462.71MB
65.10.mp436.61MB
65.11.mp434.05MB
65.12.mp4111.94MB
65.13.mp493.84MB
65.14.mp494.97MB
65.15.mp428.41MB
66.监督学习-回归569.73MB
66.1.mp428.35MB
66.2.mp415.91MB
66.3.mp427.95MB
66.4.mp426.09MB
66.5.mp434.91MB
66.6.mp441.78MB
66.7.mp470.52MB
66.8.mp462.09MB
66.9.mp4102.3MB
66.10.mp439.71MB
66.11.mp463.78MB
66.12.mp456.34MB
67.监督学习-分类785.43MB
67.1.mp424.44MB
67.2.mp444.12MB
67.3.mp443.82MB
67.4.mp465.73MB
67.5.mp451.39MB
67.6.mp443.81MB
67.7.mp486.02MB
67.8.mp461.44MB
67.9.mp454.65MB
67.10.mp481.63MB
67.11.mp464.75MB
67.12.mp496.85MB
67.13.mp411MB
67.14.mp455.78MB
68.自然语言处理导入801.9MB
68.1.mp445.46MB
68.2.mp449.97MB
68.3.mp420MB
68.4.mp473.68MB
68.5.mp4103.89MB
68.6.mp4107.4MB
68.7.mp4119.32MB
68.8.mp4152.74MB
68.9.mp4129.45MB
69.人工智能金融应用445.19MB
69.1.mp444.2MB
69.2.mp461.82MB
69.3.mp455.58MB
69.4.mp472.26MB
69.5.mp453.14MB
69.6.mp443.85MB
69.7.mp448.21MB
69.8.mp466.11MB
70.人工智能与设计392.38MB
70.1.mp429.85MB
70.2.mp427.83MB
70.3.mp425.13MB
70.4.mp441.69MB
70.5.mp442.88MB
70.6.mp441.74MB
70.7.mp461.27MB
70.8.mp444.03MB
70.9.mp438.19MB
70.10.mp439.79MB
71.第四范式分享301.42MB
71.1.mp434.83MB
71.2.mp435.66MB
71.3.mp426.69MB
71.4.mp434.19MB
71.5.mp439.18MB
71.6.mp451.5MB
71.7.mp435.79MB
71.8.mp443.57MB
72.个性化推荐算法422.09MB
72.1.mp441.32MB
72.2.mp438.39MB
72.3.mp454.54MB
72.4.mp442.11MB
72.5.mp460.68MB
72.6.mp450.23MB
72.7.mp457.04MB
72.8.mp449.38MB
72.9.mp428.41MB
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