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[Tutorialsplanet.NET] Udemy - TensorFlow 2.0 Practical Advanced
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[Tutorialsplanet.NET] Udemy - TensorFlow 2.0 Practical Advanced
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2022-04-07
最近下载:
2025-01-02
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文件列表
01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4
229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4
221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4
203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4
162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4
149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4
147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4
124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip
121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4
114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4
106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4
102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4
102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4
101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4
100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4
100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4
96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4
96.2 MB
06 - GANs/001 GANS intuition.mp4
95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4
93.8 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4
92.6 MB
06 - GANs/003 Let's put the Discriminator and Generator together.mp4
91.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/005 ANN and CNN - Part 5.mp4
90.9 MB
03 - TRANSFER LEARNING (TF HUB)/008 Transfer Learning Project 1 - Coding P4.mp4
89.0 MB
01 - INTRODUCTION AND COURSE OUTLINE/010 Eager Execution.mp4
88.5 MB
04 - AUTOENCODERS/009 Autoencoders Project 1 - Coding P3.mp4
84.9 MB
03 - TRANSFER LEARNING (TF HUB)/012 Transfer Learning Project 2 - Coding P3.mp4
82.9 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/005 Tensorboard Example 2.mp4
82.1 MB
04 - AUTOENCODERS/007 Autoencoders Project 1 - Coding P1.mp4
81.8 MB
04 - AUTOENCODERS/010 Autoencoders Project 1 - Coding P4.mp4
80.2 MB
03 - TRANSFER LEARNING (TF HUB)/002 Transfer Learning Process.mp4
79.5 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/004 Tensorboard Example 1.mp4
79.3 MB
04 - AUTOENCODERS/012 Autoencoders Project 2 - Coding P1.mp4
77.4 MB
05 - DEEP DREAM/005 Deep Dream Coding P2.mp4
76.7 MB
04 - AUTOENCODERS/008 Autoencoders Project 1 - Coding P2.mp4
75.6 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/001 TF Serving Coding Part 1.mp4
75.3 MB
06 - GANs/007 GANS Project 1 P2.mp4
73.3 MB
03 - TRANSFER LEARNING (TF HUB)/001 What is Transfer learning.mp4
72.1 MB
03 - TRANSFER LEARNING (TF HUB)/009 Transfer Learning Project 1 - Coding P5.mp4
71.8 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/002 TF Serving Coding Part 2.mp4
66.5 MB
03 - TRANSFER LEARNING (TF HUB)/011 Transfer Learning Project 2 - Coding P2.mp4
65.5 MB
01 - INTRODUCTION AND COURSE OUTLINE/005 Machine Learning Big Picture.mp4
62.0 MB
06 - GANs/005 GANs applications.mp4
59.4 MB
01 - INTRODUCTION AND COURSE OUTLINE/002 Course Overview.mp4
58.6 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/005 Fun with RNN.mp4
58.5 MB
04 - AUTOENCODERS/005 Variational Autoencoders (VARS).mp4
55.5 MB
04 - AUTOENCODERS/002 Autencoders Math.mp4
54.8 MB
01 - INTRODUCTION AND COURSE OUTLINE/011 Keras API.mp4
54.0 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/011 RNN Project #1 - Part #4.mp4
53.8 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/009 Project 1 - Solution Part 1.mp4
52.0 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/002 RNN Architecture.mp4
51.8 MB
06 - GANs/006 GANS Project 1 P1.mp4
51.2 MB
06 - GANs/004 GAN Lab.mp4
51.1 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/008 RNN Project #1 - Part #1.mp4
51.0 MB
01 - INTRODUCTION AND COURSE OUTLINE/001 Course Introduction and Welcome Message.mp4
49.7 MB
06 - GANs/002 Discriminator and Generator Networks.mp4
48.7 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/010 RNN Project #1 - Part #3.mp4
48.6 MB
04 - AUTOENCODERS/003 Linear Autoencoders vs. PCA.mp4
46.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/008 ANN and CNN - Part 8.mp4
45.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/006 ANN and CNN - Part 6.mp4
44.5 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/003 ANN and CNN - Part 3.mp4
44.1 MB
05 - DEEP DREAM/004 Deep Dream Coding P1.mp4
44.0 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/002 ANN and CNN - Part 2.mp4
43.9 MB
04 - AUTOENCODERS/004 Autoencoders Applications.mp4
43.1 MB
06 - GANs/009 GANS Project 1 P4.mp4
42.1 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/004 ANN and CNN - Part 4.mp4
41.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/001 Recurrent Neural Networks Intuition.mp4
40.4 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/009 RNN Project #1 - Part #2.mp4
38.2 MB
05 - DEEP DREAM/006 Deep Dream Coding P3.mp4
36.4 MB
03 - TRANSFER LEARNING (TF HUB)/010 Transfer Learning Project 2 - Coding P1.mp4
33.7 MB
03 - TRANSFER LEARNING (TF HUB)/004 ImageNet.mp4
32.3 MB
04 - AUTOENCODERS/006 Autoencoders CNN Dimensionality Review.mp4
32.1 MB
05 - DEEP DREAM/003 Deep Dream Simpified.mp4
30.8 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/004 RNN Math.mp4
29.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/003 What makes RNN so special.mp4
27.9 MB
03 - TRANSFER LEARNING (TF HUB)/003 Transfer Learning Strategies.mp4
27.7 MB
06 - GANs/008 GANS Project 1 P3.mp4
27.5 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/006 Distributed Strategy.mp4
27.2 MB
04 - AUTOENCODERS/011 Autoencoders Project 1 - Coding P5.mp4
25.8 MB
01 - INTRODUCTION AND COURSE OUTLINE/008 What is Google Colab.mp4
21.5 MB
01 - INTRODUCTION AND COURSE OUTLINE/20076800-TF-2.0-Practical-Advanced-Course-Package.zip
21.3 MB
01 - INTRODUCTION AND COURSE OUTLINE/009 Google Colab Demo.mp4
15.5 MB
01 - INTRODUCTION AND COURSE OUTLINE/006 TF 2.0 and Google Colab Overview.mp4
6.0 MB
03 - TRANSFER LEARNING (TF HUB)/20086730-Transfer-Learning-Data.zip
5.6 MB
05 - DEEP DREAM/20086990-StaryNight.jpg
486.1 kB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2_en.vtt
28.4 kB
05 - DEEP DREAM/008 Deep Dream Coding P5_en.vtt
27.2 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM_en.vtt
24.8 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1_en.vtt
24.4 kB
05 - DEEP DREAM/002 How does DeepDream Algo work_en.vtt
21.8 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7_en.vtt
21.1 kB
01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0_en.vtt
20.7 kB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2_en.vtt
19.9 kB
04 - AUTOENCODERS/002 Autencoders Math_en.vtt
19.1 kB
06 - GANs/003 Let's put the Discriminator and Generator together_en.vtt
19.0 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/003 ANN and CNN - Part 3_en.vtt
18.5 kB
06 - GANs/010 GANS Project 1 P5_en.vtt
17.5 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2_en.vtt
17.3 kB
08 - TENSORFLOW SERVING AND TENSORBOARD/004 Tensorboard Example 1_en.vtt
17.3 kB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3_en.vtt
17.1 kB
06 - GANs/004 GAN Lab_en.vtt
16.9 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem_en.vtt
16.9 kB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL_en.vtt
16.4 kB
04 - AUTOENCODERS/001 Autoencoders intuition_en.vtt
16.3 kB
04 - AUTOENCODERS/012 Autoencoders Project 2 - Coding P1_en.vtt
16.3 kB
03 - TRANSFER LEARNING (TF HUB)/008 Transfer Learning Project 1 - Coding P4_en.vtt
16.2 kB
05 - DEEP DREAM/007 Deep Dream Coding P4_en.vtt
16.1 kB
06 - GANs/001 GANS intuition_en.vtt
15.1 kB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3_en.vtt
14.6 kB
06 - GANs/007 GANS Project 1 P2_en.vtt
14.6 kB
03 - TRANSFER LEARNING (TF HUB)/002 Transfer Learning Process_en.vtt
14.2 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/005 ANN and CNN - Part 5_en.vtt
14.1 kB
01 - INTRODUCTION AND COURSE OUTLINE/010 Eager Execution_en.vtt
14.0 kB
04 - AUTOENCODERS/010 Autoencoders Project 1 - Coding P4_en.vtt
13.7 kB
04 - AUTOENCODERS/007 Autoencoders Project 1 - Coding P1_en.vtt
13.5 kB
04 - AUTOENCODERS/009 Autoencoders Project 1 - Coding P3_en.vtt
13.5 kB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1_en.vtt
13.4 kB
04 - AUTOENCODERS/006 Autoencoders CNN Dimensionality Review_en.vtt
13.4 kB
04 - AUTOENCODERS/004 Autoencoders Applications_en.vtt
13.3 kB
08 - TENSORFLOW SERVING AND TENSORBOARD/001 TF Serving Coding Part 1_en.vtt
13.2 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/008 ANN and CNN - Part 8_en.vtt
13.2 kB
05 - DEEP DREAM/001 What is Deep Dream_en.vtt
13.1 kB
03 - TRANSFER LEARNING (TF HUB)/012 Transfer Learning Project 2 - Coding P3_en.vtt
13.0 kB
05 - DEEP DREAM/005 Deep Dream Coding P2_en.vtt
12.7 kB
04 - AUTOENCODERS/008 Autoencoders Project 1 - Coding P2_en.vtt
12.1 kB
03 - TRANSFER LEARNING (TF HUB)/004 ImageNet_en.vtt
12.0 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/002 RNN Architecture_en.vtt
12.0 kB
08 - TENSORFLOW SERVING AND TENSORBOARD/005 Tensorboard Example 2_en.vtt
11.9 kB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/002 ANN and CNN - Part 2_en.vtt
11.4 kB
03 - TRANSFER LEARNING (TF HUB)/001 What is Transfer learning_en.vtt
11.3 kB
01 - INTRODUCTION AND COURSE OUTLINE/005 Machine Learning Big Picture_en.vtt
11.2 kB
08 - TENSORFLOW SERVING AND TENSORBOARD/002 TF Serving Coding Part 2_en.vtt
11.2 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/011 RNN Project #1 - Part #4_en.vtt
11.2 kB
06 - GANs/006 GANS Project 1 P1_en.vtt
11.0 kB
03 - TRANSFER LEARNING (TF HUB)/009 Transfer Learning Project 1 - Coding P5_en.vtt
11.0 kB
04 - AUTOENCODERS/005 Variational Autoencoders (VARS)_en.vtt
11.0 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/008 RNN Project #1 - Part #1_en.vtt
10.9 kB
01 - INTRODUCTION AND COURSE OUTLINE/002 Course Overview_en.vtt
10.9 kB
03 - TRANSFER LEARNING (TF HUB)/003 Transfer Learning Strategies_en.vtt
10.8 kB
01 - INTRODUCTION AND COURSE OUTLINE/009 Google Colab Demo_en.vtt
10.5 kB
03 - TRANSFER LEARNING (TF HUB)/011 Transfer Learning Project 2 - Coding P2_en.vtt
9.7 kB
01 - INTRODUCTION AND COURSE OUTLINE/011 Keras API_en.vtt
9.3 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/003 What makes RNN so special_en.vtt
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07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/009 RNN Project #1 - Part #2_en.vtt
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05 - DEEP DREAM/003 Deep Dream Simpified_en.vtt
8.5 kB
06 - GANs/005 GANs applications_en.vtt
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02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/009 Project 1 - Solution Part 1_en.vtt
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06 - GANs/002 Discriminator and Generator Networks_en.vtt
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02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/004 ANN and CNN - Part 4_en.vtt
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07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/010 RNN Project #1 - Part #3_en.vtt
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02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/006 ANN and CNN - Part 6_en.vtt
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05 - DEEP DREAM/006 Deep Dream Coding P3_en.vtt
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07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/004 RNN Math_en.vtt
7.7 kB
04 - AUTOENCODERS/003 Linear Autoencoders vs. PCA_en.vtt
7.7 kB
01 - INTRODUCTION AND COURSE OUTLINE/008 What is Google Colab_en.vtt
7.3 kB
03 - TRANSFER LEARNING (TF HUB)/010 Transfer Learning Project 2 - Coding P1_en.vtt
7.2 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/005 Fun with RNN_en.vtt
7.2 kB
05 - DEEP DREAM/004 Deep Dream Coding P1_en.vtt
7.0 kB
06 - GANs/009 GANS Project 1 P4_en.vtt
6.9 kB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/001 Recurrent Neural Networks Intuition_en.vtt
6.3 kB
06 - GANs/008 GANS Project 1 P3_en.vtt
5.5 kB
04 - AUTOENCODERS/011 Autoencoders Project 1 - Coding P5_en.vtt
5.4 kB
08 - TENSORFLOW SERVING AND TENSORBOARD/006 Distributed Strategy_en.vtt
4.6 kB
01 - INTRODUCTION AND COURSE OUTLINE/006 TF 2.0 and Google Colab Overview_en.vtt
2.8 kB
01 - INTRODUCTION AND COURSE OUTLINE/001 Course Introduction and Welcome Message_en.vtt
2.8 kB
01 - INTRODUCTION AND COURSE OUTLINE/003 BONUS Learning Path.html
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08 - TENSORFLOW SERVING AND TENSORBOARD/external-assets-links.txt
329 Bytes
01 - INTRODUCTION AND COURSE OUTLINE/012 Get the materials.html
321 Bytes
03 - TRANSFER LEARNING (TF HUB)/external-assets-links.txt
238 Bytes
04 - AUTOENCODERS/external-assets-links.txt
228 Bytes
06 - GANs/external-assets-links.txt
142 Bytes
[Tutorialsplanet.NET].url
128 Bytes
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/external-assets-links.txt
123 Bytes
01 - INTRODUCTION AND COURSE OUTLINE/external-assets-links.txt
120 Bytes
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/external-assets-links.txt
116 Bytes
05 - DEEP DREAM/external-assets-links.txt
102 Bytes
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