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【压缩文件】 [ CoursePig.com ] Udemy - Deep learning for image segmentation using Tensorflow 2.zip

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[ CoursePig.com ] Udemy - Deep learning for image segmentation using Tensorflow 2.zip 2.5 GB

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【压缩文件】 [FreeCourseLab.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 [FreeAllCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB

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【文档书籍】 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2023.pdf 71.8 MB
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2023.epub 28.6 MB

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【影视】 Deep learning with TensorFlow [Video]

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CODE/5582_01_Code/5582_01_02_Code/install.sh 453 Bytes
CODE/5582_01_Code/5582_01_03_Code/simple.py 2.2 kB
CODE/5582_01_Code/5582_01_04_Code/data_with_labels.npz 3.6 MB
CODE/5582_01_Code/5582_01_04_Code/logistic.py 3.2 kB
CODE/5582_01_Code/5582_01_05_Code/logistic.py 3.2 kB
CODE/5582_02_Code/5582_02_01_Code/basic_nn.py 1.2 kB
CODE/5582_02_Code/5582_02_02_Code/single_hidden.py 3.3 kB
CODE/5582_02_Code/5582_02_03_Code/single_hidden.py 3.3 kB
CODE/5582_02_Code/5582_02_04_Code/mlp.py 3.7 kB
CODE/5582_02_Code/5582_02_05_Code/mlp.py 3.7 kB
CODE/5582_03_Code/5582_03_02_Code/conv_simple.py 2.2 kB
CODE/5582_03_Code/5582_03_04_Code/conv_simple.py 2.2 kB
CODE/5582_03_Code/5582_03_05_Code/conv.py 5.2 kB
CODE/5582_03_Code/5582_03_05_Code/data_with_labels.npz 3.6 MB
CODE/5582_03_Code/5582_03_06_Code/conv_p2.py 5.9 kB
CODE/5582_03_Code/5582_03_07_Code/conv_p2.py 5.9 kB
CODE/5582_03_Code/5582_03_07_Code/data_with_labels.npz 3.6 MB
CODE/5582_04_Code/5582_04_01_Code/rnn.odg 10.2 kB
CODE/5582_04_Code/5582_04_01_Code/rnn_tf.py 3.8 kB
CODE/5582_04_Code/5582_04_01_Code/weather.npz 285.7 kB

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【压缩文件】 python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2

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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr.html 31.1 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_chocr.html.gz 17.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.xml 16.6 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.pdf 9.9 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.txt 1.3 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_daisy.zip 654.8 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_searchtext.txt.gz 397.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_scandata.xml 269.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_page_numbers.json 131.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.sqlite 20.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_pageindex.json.gz 9.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.xml 2.0 kB

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【影视】 Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2025-05-04 文档个数:239 文档大小:8.9 GB 最近下载:2025-05-16 人气:57 磁力链接

[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/115 - Flask Front End.mp4 175.6 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/110 - Creating the Model.mp4 128.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB

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【影视】 [CourseRecap.Com] - Tensorflow Tutorial Hands-on AI development with Tensorflow

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6. Live Projects/3. Cats vs Dogs.mp4 303.6 MB
6. Live Projects/1. Fashion Clothing Recognition.mp4 164.3 MB
5. Section 5/8. Facial Recognition using PCA.mp4 156.4 MB
3. Section 3/4. Backpropagation.mp4 154.3 MB
3. Section 3/6. Digit Classification.mp4 151.4 MB
2. Section 2/3. Linear Regression - Theory.mp4 151.1 MB
2. Section 2/1. Decision Trees - Theory.mp4 145.5 MB
4. Section 4/2. Convolution in CNN (part1).mp4 143.9 MB
4. Section 4/3. Convolution in CNN (part2).mp4 138.1 MB
2. Section 2/6. Logistic Regression - Implementation.mp4 123.0 MB
4. Section 4/4. Layers of CNN.mp4 119.4 MB
1. Section 1/6. Intro to Machine Learning.mp4 117.9 MB
1. Section 1/3. Graphs.mp4 117.7 MB
3. Section 3/3. Complex Decision Boundaries.mp4 117.1 MB
5. Section 5/7. Principal Component Analysis.mp4 115.2 MB
4. Section 4/1. Introduction.mp4 114.4 MB
2. Section 2/5. Logistic Regression - Theory.mp4 112.8 MB
3. Section 3/2. Gates and Forward Propagation.mp4 109.3 MB
2. Section 2/4. Linear Regression - Implementation.mp4 109.1 MB
5. Section 5/2. K-Means Algorithm (Part 2).mp4 108.2 MB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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18. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
18. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 128.6 MB
18. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
18. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 87.6 MB

猜你喜欢： DesireCourse Deep Udemy Artificial Learning Intelligence Tensorflow Net 2.0

【文档书籍】 TensorFlow神经网络编程

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TensorFlow神经网络编程.pdf 163.2 MB
精品资源分享.必读说明（小额有偿）.ifulicn.com.pdf 814.3 kB
精品资源分享.必读说明（小额有偿）.ifulicn.com.docx 549.1 kB
index.html 70.3 kB
精品资源分享.必读说明（小额有偿）.ifulicn.com.txt 53.8 kB

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【其他】 PluralSight.Image.Understanding.with.TensorFlow.on.GCP-BOOKWARE-KNiSO

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kniso-image.understanding.with.tensorflow.on.gcp.r00 50.0 MB
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kniso-image.understanding.with.tensorflow.on.gcp.r19 50.0 MB

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【影视】 [UdemyCourseDownloader] Deep Learning with TensorFlow 2.0 [2019]

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
01. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 96.5 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 82.0 MB
13. Business case/9. Setting an early stopping mechanism.mp4 56.0 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 48.2 MB
12. The MNIST example/10. Learning.mp4 46.6 MB
03. Setting up the working environment/9. Installing TensorFlow 2.mp4 45.0 MB
03. Setting up the working environment/2. Why Python and why Jupyter.mp4 43.0 MB
02. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
05. TensorFlow - An introduction/1. TensorFlow outline.mp4 40.2 MB
02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
05. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/3. Balancing the dataset.mp4 36.9 MB
03. Setting up the working environment/4. Installing Anaconda.mp4 36.6 MB
13. Business case/8. Learning and interpreting the result.mp4 36.3 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB

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