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- 收录时间:2017-03-31 文档个数:3 文档大小:1.5 GB 最近下载:2025-05-15 人气:994 磁力链接
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12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 425.6 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 384.2 MB
03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 366.5 MB
11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 352.1 MB
05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 350.7 MB
12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 336.9 MB
12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
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04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4 300.2 MB
12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 299.9 MB
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08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 290.8 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 283.7 MB
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30-lab_018a_univariate_and_multivariate_analysis.mkv 88.1 MB
10-009___supervised_learning.mkv 70.4 MB
38-lab_25___accessing_pca_model_attributes.mkv 66.1 MB
29-lab_017___exploratory_data_analysis.mkv 65.1 MB
35-lab_22___problem_statement_and_data_import.mkv 65.1 MB
04-003_cloud_computing_services.mkv 57.9 MB
31-lab_018b_univariate_and_multivariate_analysis.mkv 55.3 MB
28-lab__016___problem_statement_and_data_import.mkv 54.9 MB
23-lab_11b___data_cleaning___part___ii.mkv 50.6 MB
36-lab_23___exploratory_data_analysis.mkv 49.5 MB
41-lab_28__accessing_k_means_model_attributes.mkv 48.8 MB
15-lab_003___create_a_notebook_instance.mkv 43.3 MB
22-lab_11a___data_cleaning_part___i.mkv 41.5 MB
03-002__what_is_cloud_computing.mkv 41.0 MB
25-lab_13___training_model_in_sagemaker.mkv 38.7 MB
21-lab_10___exploratory_data_analysis.mkv 37.3 MB
39-lab_26___model_deployment_and_conclusion_analysis.mkv 36.6 MB
01-introduction_to_course.mkv 34.2 MB
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