Code
文件数目92
文件大小1.09 GB
收录时间2026-08-05 18:08:15
磁力链接
标准磁链
此处仅显示 btih Hash 标准磁链。需要更高兼容性时，可使用“下载 Torrent”文件打开。
已识别到媒体文件，但当前没有可在线播放源
普通 magnet 只能提供 Hash 和文件元数据，浏览器无法直接播放。系统会自动识别手动播放地址、Magnet WebSeed 与公开直链；没有这些直链时，请复制磁链后使用本地 BT 客户端打开。
文件列表 / 大小
1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4
12.55 MB 需客户端
1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4
19.61 MB 需客户端
1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4
14.35 MB 需客户端
1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4
29.60 MB 需客户端
1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4
19.07 MB 需客户端
1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4
15.74 MB 需客户端
2.1-Learning from Data –Unsupervised Learning - Building Machine Learning Systems with TensorFlow [Video].mp4
4.82 MB 需客户端
2.2-Mechanics of k-Means - Building Machine Learning Systems with TensorFlow [Video].mp4
6.63 MB 需客户端
2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4
15.39 MB 需客户端
2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4
16.01 MB 需客户端
2.5-Project 2 – Nearest Neighbor on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4
8.39 MB 需客户端
3.1-Univariate Linear Modelling Function - Building Machine Learning Systems with TensorFlow [Video].mp4
9.43 MB 需客户端
3.2-Optimizer Methods in TensorFlow – The Train Module - Building Machine Learning Systems with TensorFlow [Video].mp4
6.03 MB 需客户端
3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4
18.76 MB 需客户端
3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4
19.15 MB 需客户端
4.1-Logistic Function Predecessor – The Logit Functions - Building Machine Learning Systems with TensorFlow [Video].mp4
7.32 MB 需客户端
4.2-The Logistic Function - Building Machine Learning Systems with TensorFlow [Video].mp4
10.12 MB 需客户端
4.3-Univariate Logistic Regression - Building Machine Learning Systems with TensorFlow [Video].mp4
25.08 MB 需客户端
4.4-Univariate Logistic Regression with keras - Building Machine Learning Systems with TensorFlow [Video].mp4
10.14 MB 需客户端
5.1-Preliminary Concepts - Building Machine Learning Systems with TensorFlow [Video].mp4
14.03 MB 需客户端
5.2-First Project – Non-Linear Synthetic Function Regression - Building Machine Learning Systems with TensorFlow [Video].mp4
10.79 MB 需客户端
5.3-Second Project – Modeling Cars Fuel Efficiency with Non-Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4
13.55 MB 需客户端
5.4-Third Project – Learning to Classify Wines Multiclass Classification - Building Machine Learning Systems with TensorFlow [Video].mp4
11.27 MB 需客户端
6.1-Origin of Convolutional Neural Networks - Building Machine Learning Systems with TensorFlow [Video].mp4
7.06 MB 需客户端
6.2-Applying Convolution in TensorFlow - Building Machine Learning Systems with TensorFlow [Video].mp4
15.20 MB 需客户端
6.3-Subsampling Operation –Pooling - Building Machine Learning Systems with TensorFlow [Video].mp4
8.96 MB 需客户端
6.4-Improving Efficiency – Dropout Operation - Building Machine Learning Systems with TensorFlow [Video].mp4
5.80 MB 需客户端
6.5-Convolutional Type Layer Building Methods - Building Machine Learning Systems with TensorFlow [Video].mp4
2.71 MB 需客户端
6.6-MNIST Digit Classification - Building Machine Learning Systems with TensorFlow [Video].mp4
13.59 MB 需客户端
6.7-Image Classification with the CIFAR10 Dataset - Building Machine Learning Systems with TensorFlow [Video].mp4
10.17 MB 需客户端
7.1-Recurrent Neural Networks - Building Machine Learning Systems with TensorFlow [Video].mp4
6.96 MB 需客户端
7.2-AFundamental Component – Gate Operation and Its Steps - Building Machine Learning Systems with TensorFlow [Video].mp4
7.82 MB 需客户端
7.3-TensorFlow LSTM Useful Classes and Methods - Building Machine Learning Systems with TensorFlow [Video].mp4
4.25 MB 需客户端
7.4-Univariate Time Series Prediction with Energy Consumption Data - Building Machine Learning Systems with TensorFlow [Video].mp4
10.91 MB 需客户端
7.5-Writing Music a la Bach - Building Machine Learning Systems with TensorFlow [Video].mp4
30.42 MB 需客户端
8.1-Deep Neural Network Definition and Architectures Through Time - Building Machine Learning Systems with TensorFlow [Video].mp4
5.12 MB 需客户端
8.2-Alexnet - Building Machine Learning Systems with TensorFlow [Video].mp4
8.95 MB 需客户端
8.3-Inception V3 - Building Machine Learning Systems with TensorFlow [Video].mp4
2.20 MB 需客户端
8.4-Residual Networks (ResNet) - Building Machine Learning Systems with TensorFlow [Video].mp4
4.04 MB 需客户端
8.5-Painting with Style – VGG Style Transfer - Building Machine Learning Systems with TensorFlow [Video].mp4
11.83 MB 需客户端
9.1-Windows Installation - Building Machine Learning Systems with TensorFlow [Video].mp4
9.82 MB 需客户端
9.2-MacOS Installation - Building Machine Learning Systems with TensorFlow [Video].mp4
10.15 MB 需客户端
Code/Section 1/.ipynb_checkpoints/Section1-checkpoint.ipynb
2.81 MB
Code/Section 1/csv_1.0.py
741 B
Code/Section 1/iris.csv
3.71 KB
Code/Section 1/Section1.ipynb
2.81 MB
Code/Section 2/Section2.ipynb
707.44 KB
Code/Section 3/Section3.ipynb
108.49 KB
Code/Section 3/utils.py
2.25 KB
Code/Section 4/CH4_Univariate_logistic_regression.ipynb
55.91 KB
Code/Section 4/CH4_Univariate_logistic_regression.py
3.92 KB
Code/Section 4/data/CHD.csv
609 B
Code/Section 4/Univariate_logistic_regression_keras.ipynb
13.56 KB
Code/Section 4/Univariate_logistic_regression_keras.py
1.04 KB
Code/Section 5/CH5_linear_regression_nn.ipynb
19.69 KB
Code/Section 5/CH5_linear_regression_nn.py
1.97 KB
Code/Section 5/CH5_Nonlinear.ipynb
102.39 KB
Code/Section 5/CH5_Nonlinear.py
1.70 KB
Code/Section 5/Ch5_third_example.ipynb
27.46 KB
Code/Section 5/Ch5_third_example.py
1.90 KB
Code/Section 5/data/mpg.csv
17.31 KB
Code/Section 5/data/wine.csv
10.63 KB
Code/Section 6/CH6_CIFAR.ipynb
15.58 KB
Code/Section 6/CH6_convolution.ipynb
2.45 KB
Code/Section 6/CH6_convolution.py
1.38 KB
Code/Section 6/CH6_image_subsampling.ipynb
2.29 KB
Code/Section 6/CH6_image_subsampling.py
1.24 KB
Code/Section 6/CH6_Mnist_final.ipynb
86.20 KB
Code/Section 6/CH6_Mnist_final.py
4.72 KB
Code/Section 6/data/blue_jay.jpg
605.93 KB
Code/Section 6/data/cifar-10-batches-bin/batches.meta.txt
61 B
Code/Section 6/data/cifar-10-batches-bin/data_batch_1.bin
29.31 MB
Code/Section 6/data/cifar-10-batches-bin/readme.html
88 B
Code/Section 6/data/cifar-10-batches-bin/test_batch.bin
29.31 MB
Code/Section 6/data/leopard.jpg
142.69 KB
Code/Section 6/data/test.gif
95.11 KB
Code/Section 6/data/test2.gif
102.17 KB
Code/Section 7/Code/CH7_time_series.ipynb
150.13 KB
Code/Section 7/Code/data/elec_load.csv
2.25 MB
Code/Section 7/Code/model.py
55.67 KB
Code/Section 7/Code/sample.py
43.44 KB
Code/Section 7/Code/train.py
2.45 KB
Code/Section 7/Code/utils.py
52.87 KB
Code/Section 8/.ipynb_checkpoints/Cifar10-checkpoint.ipynb
2.76 KB
Code/Section 8/.ipynb_checkpoints/VGG retraining-checkpoint.ipynb
72 B
Code/Section 8/content.jpg
181.46 KB
Code/Section 8/imagenet-vgg-verydeep-19.mat
549.36 MB
Code/Section 8/neural_style.py
8.53 KB
Code/Section 8/style.jpg
245.37 KB
Code/Section 8/stylize.py
8.65 KB
Code/Section 8/vgg.py
2.12 KB
content.txt
3.95 KB