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TensorFlow Developer Certificate in 2021 Zero to Mastery

TensorFlow Developer Certificate in 2021 Zero to Mastery metadata, size 20181.56 MB, 801 files, category video, indexed at 2026-08-01.

大小：19.7 GB 格式：mp4 分类：视频 文件数量：801 个 发掘时间：2026-08-01 13:45:10 最后活跃：2026-08-01 13:45:10

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Infohash77f25fd83b0e1b31e72d45e47502d437c7f1e144 总大小19.7 GB 格式mp4 分类视频 文件数801 发掘时间（北京时间）2026-08-01 13:45:10 最后活跃（北京时间）2026-08-01 13:45:10

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完整磁力链接 magnet:?xt=urn:btih:77f25fd83b0e1b31e72d45e47502d437c7f1e144&dn=TensorFlow%20Developer%20Certificate%20in%202021%20Zero%20to%20Mastery
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Tag

videomp42021tointensorflowzeromasterydevelopercertificate

文件列表

文件名格式大小
18. Preparing Model 3 (our first fine-tuned model).mp4mp4198.2 MB
TutsNode.com.txttxt61 B
5.1 pandas-anatomy-of-a-dataframe.pngpng333.2 KB
11.1 pandas-anatomy-of-a-dataframe.pngpng333.2 KB
2. Join Our Online Classroom!.htmlhtml2.4 KB
3. Exercise Meet The Community.htmlhtml2.8 KB
4. All Course Resources + Notebooks.htmlhtml2.0 KB
4.1 Zero to Mastery TensorFlow Deep Learning on GitHub.htmlhtml114 B
7. Building an end to end CNN Model.srtsrt26.0 KB
18. Preparing Model 3 (our first fine-tuned model).srtsrt25.9 KB
1.1 All course materials and links!.htmlhtml114 B
5. The major steps in modelling with TensorFlow.srtsrt25.7 KB
18. Using callbacks to find a model's ideal learning rate.srtsrt24.9 KB
10. Creating your first tensors with TensorFlow and tf.constant().srtsrt24.7 KB
18. Making predictions on our test images and evaluating them.srtsrt23.5 KB
14. Building Model 2 (with a data augmentation layer and 10% of training data).srtsrt23.4 KB
15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.srtsrt22.8 KB
27. Multi-class CNN's part 1 Becoming one with the data.srtsrt22.7 KB
13. Building Model 1 (with a data augmentation layer and 1% of training data).srtsrt22.4 KB
5. Exploring and becoming one with the data (Food101 from TensorFlow Datasets).srtsrt22.3 KB
3. Downloading and turning our images into a TensorFlow BatchDataset.srtsrt22.0 KB
10. Comparing Our Model's Results.srtsrt21.6 KB
20. Breaking our CNN model down part 10 Visualizing our augmented data.srtsrt21.5 KB
11. Evaluating a TensorFlow model part 3 (getting a model summary).srtsrt21.5 KB
26. Multi-class classification part 3 Building a multi-class classification model.srtsrt21.1 KB
9. Need A Refresher.htmlhtml942 B
33. What patterns is our model learning.srtsrt20.8 KB
5. NumPy DataTypes and Attributes.srtsrt20.0 KB
16. Getting great results in less time by tweaking the learning rate.srtsrt19.4 KB
15. Evaluating every individual class in our dataset.srtsrt19.3 KB
18. Breaking our CNN model down part 8 Reducing overfitting with Max Pooling.srtsrt19.3 KB
7. Batching and preparing our datasets (to make them run fast).srtsrt19.2 KB
9. Creating a function to view our model's not so good predictions.srtsrt19.0 KB
9. Selecting and Viewing Data with Pandas Part 2.srtsrt19.0 KB
5. Building and compiling a TensorFlow Hub feature extraction model.srtsrt18.9 KB
6. Creating a preprocessing function to prepare our data for modelling.srtsrt18.8 KB
25. Putting together what we've learned part 3 (improving our regression model).srtsrt18.8 KB
23. Putting together what we've learned part 1 (preparing a dataset).srtsrt18.7 KB
10. Manipulating Data.srtsrt18.6 KB
5. Series, Data Frames and CSVs.srtsrt18.4 KB
15. Non-linearity part 5 Replicating non-linear activation functions from scratch.srtsrt18.3 KB
23. Making our confusion matrix prettier.srtsrt18.3 KB
2. Downloading and preparing data for our first transfer learning model.srtsrt18.1 KB
24. Putting together what we've learned part 2 (building a regression model).srtsrt17.9 KB
8. Getting a feature vector from our trained model.srtsrt17.7 KB
2. Getting helper functions ready and downloading data to model.srtsrt17.7 KB
4. Introduction to TensorFlow Datasets (TFDS).srtsrt17.6 KB
14. Creating a confusion matrix for our model's 101 different classes.srtsrt17.5 KB
17. Setting up TensorFlow modelling experiments part 1 (start with a simple model).srtsrt17.4 KB
11. Creating a feature extraction model capable of using mixed precision training.srtsrt17.4 KB

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