[GigaCourse.Com] Udemy - TensorFlow 2.0 Practical Advanced

Creation Time	Nov. 30, 2022, 1:03 a.m.
Last Access Time	Oct. 24, 2026, 8:30 p.m.
File Size	5.5 GB
Keywords	- Udemy Practical 0 2 GigaCourse TensorFlow Com Advanced
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01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 219.0 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 211.0 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 194.0 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 155.1 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 142.4 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 140.6 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 118.6 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 115.8 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 109.5 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 101.4 MB
06 - GANs/010 GANS Project 1 P5.mp4 97.4 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 97.3 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 97.2 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 95.7 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 95.6 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 92.2 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 91.7 MB
06 - GANs/001 GANS intuition.mp4 91.0 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 89.5 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 88.3 MB
06 - GANs/003 Let's put the Discriminator and Generator together.mp4 87.7 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/005 ANN and CNN - Part 5.mp4 86.7 MB
03 - TRANSFER LEARNING (TF HUB)/008 Transfer Learning Project 1 - Coding P4.mp4 84.9 MB
01 - INTRODUCTION AND COURSE OUTLINE/010 Eager Execution.mp4 84.4 MB
04 - AUTOENCODERS/009 Autoencoders Project 1 - Coding P3.mp4 81.0 MB
03 - TRANSFER LEARNING (TF HUB)/012 Transfer Learning Project 2 - Coding P3.mp4 79.0 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/005 Tensorboard Example 2.mp4 78.3 MB
04 - AUTOENCODERS/007 Autoencoders Project 1 - Coding P1.mp4 78.0 MB
04 - AUTOENCODERS/010 Autoencoders Project 1 - Coding P4.mp4 76.5 MB
03 - TRANSFER LEARNING (TF HUB)/002 Transfer Learning Process.mp4 75.9 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/004 Tensorboard Example 1.mp4 75.7 MB
04 - AUTOENCODERS/012 Autoencoders Project 2 - Coding P1.mp4 73.8 MB
05 - DEEP DREAM/005 Deep Dream Coding P2.mp4 73.1 MB
04 - AUTOENCODERS/008 Autoencoders Project 1 - Coding P2.mp4 72.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/001 TF Serving Coding Part 1.mp4 71.8 MB
06 - GANs/007 GANS Project 1 P2.mp4 69.9 MB
03 - TRANSFER LEARNING (TF HUB)/001 What is Transfer learning.mp4 68.8 MB
03 - TRANSFER LEARNING (TF HUB)/009 Transfer Learning Project 1 - Coding P5.mp4 68.5 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/002 TF Serving Coding Part 2.mp4 63.4 MB
03 - TRANSFER LEARNING (TF HUB)/011 Transfer Learning Project 2 - Coding P2.mp4 62.5 MB
01 - INTRODUCTION AND COURSE OUTLINE/005 Machine Learning Big Picture.mp4 59.1 MB
06 - GANs/005 GANs applications.mp4 56.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/002 Course Overview.mp4 55.8 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/005 Fun with RNN.mp4 55.8 MB
04 - AUTOENCODERS/005 Variational Autoencoders (VARS).mp4 52.9 MB
04 - AUTOENCODERS/002 Autencoders Math.mp4 52.3 MB
01 - INTRODUCTION AND COURSE OUTLINE/011 Keras API.mp4 51.5 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/011 RNN Project #1 - Part #4.mp4 51.3 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/009 Project 1 - Solution Part 1.mp4 49.6 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/002 RNN Architecture.mp4 49.4 MB
06 - GANs/006 GANS Project 1 P1.mp4 48.8 MB
06 - GANs/004 GAN Lab.mp4 48.8 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/008 RNN Project #1 - Part #1.mp4 48.6 MB
01 - INTRODUCTION AND COURSE OUTLINE/001 Course Introduction and Welcome Message.mp4 47.4 MB
06 - GANs/002 Discriminator and Generator Networks.mp4 46.4 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/010 RNN Project #1 - Part #3.mp4 46.3 MB
04 - AUTOENCODERS/003 Linear Autoencoders vs. PCA.mp4 44.5 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/008 ANN and CNN - Part 8.mp4 43.8 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/006 ANN and CNN - Part 6.mp4 42.5 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/003 ANN and CNN - Part 3.mp4 42.1 MB
05 - DEEP DREAM/004 Deep Dream Coding P1.mp4 42.0 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/002 ANN and CNN - Part 2.mp4 41.8 MB
04 - AUTOENCODERS/004 Autoencoders Applications.mp4 41.1 MB
06 - GANs/009 GANS Project 1 P4.mp4 40.2 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/004 ANN and CNN - Part 4.mp4 39.4 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/001 Recurrent Neural Networks Intuition.mp4 38.6 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/009 RNN Project #1 - Part #2.mp4 36.4 MB
05 - DEEP DREAM/006 Deep Dream Coding P3.mp4 34.7 MB
03 - TRANSFER LEARNING (TF HUB)/010 Transfer Learning Project 2 - Coding P1.mp4 32.2 MB
03 - TRANSFER LEARNING (TF HUB)/004 ImageNet.mp4 30.8 MB
04 - AUTOENCODERS/006 Autoencoders CNN Dimensionality Review.mp4 30.6 MB
05 - DEEP DREAM/003 Deep Dream Simpified.mp4 29.4 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/004 RNN Math.mp4 28.0 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/003 What makes RNN so special.mp4 26.6 MB
03 - TRANSFER LEARNING (TF HUB)/003 Transfer Learning Strategies.mp4 26.4 MB
06 - GANs/008 GANS Project 1 P3.mp4 26.2 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/006 Distributed Strategy.mp4 26.0 MB
04 - AUTOENCODERS/011 Autoencoders Project 1 - Coding P5.mp4 24.6 MB
01 - INTRODUCTION AND COURSE OUTLINE/008 What is Google Colab.mp4 20.6 MB
01 - INTRODUCTION AND COURSE OUTLINE/20076800-TF-2.0-Practical-Advanced-Course-Package.zip 20.3 MB
01 - INTRODUCTION AND COURSE OUTLINE/009 Google Colab Demo.mp4 14.8 MB
01 - INTRODUCTION AND COURSE OUTLINE/006 TF 2.0 and Google Colab Overview.mp4 5.7 MB
03 - TRANSFER LEARNING (TF HUB)/20086730-Transfer-Learning-Data.zip 5.4 MB
05 - DEEP DREAM/20086990-StaryNight.jpg 474.7 KB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2_en.vtt 27.8 KB
05 - DEEP DREAM/008 Deep Dream Coding P5_en.vtt 26.5 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM_en.vtt 24.2 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1_en.vtt 23.8 KB
05 - DEEP DREAM/002 How does DeepDream Algo work_en.vtt 21.3 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7_en.vtt 20.6 KB
01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0_en.vtt 20.2 KB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2_en.vtt 19.4 KB
04 - AUTOENCODERS/002 Autencoders Math_en.vtt 18.6 KB
06 - GANs/003 Let's put the Discriminator and Generator together_en.vtt 18.5 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/003 ANN and CNN - Part 3_en.vtt 18.1 KB
06 - GANs/010 GANS Project 1 P5_en.vtt 17.1 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2_en.vtt 16.9 KB
08 - TENSORFLOW SERVING AND TENSORBOARD/004 Tensorboard Example 1_en.vtt 16.9 KB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3_en.vtt 16.7 KB
06 - GANs/004 GAN Lab_en.vtt 16.5 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem_en.vtt 16.5 KB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL_en.vtt 16.0 KB
04 - AUTOENCODERS/001 Autoencoders intuition_en.vtt 15.9 KB
04 - AUTOENCODERS/012 Autoencoders Project 2 - Coding P1_en.vtt 15.9 KB
03 - TRANSFER LEARNING (TF HUB)/008 Transfer Learning Project 1 - Coding P4_en.vtt 15.8 KB
05 - DEEP DREAM/007 Deep Dream Coding P4_en.vtt 15.8 KB
06 - GANs/001 GANS intuition_en.vtt 14.7 KB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3_en.vtt 14.2 KB
06 - GANs/007 GANS Project 1 P2_en.vtt 14.2 KB
03 - TRANSFER LEARNING (TF HUB)/002 Transfer Learning Process_en.vtt 13.9 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/005 ANN and CNN - Part 5_en.vtt 13.8 KB
01 - INTRODUCTION AND COURSE OUTLINE/010 Eager Execution_en.vtt 13.7 KB
04 - AUTOENCODERS/010 Autoencoders Project 1 - Coding P4_en.vtt 13.4 KB
04 - AUTOENCODERS/007 Autoencoders Project 1 - Coding P1_en.vtt 13.2 KB
04 - AUTOENCODERS/009 Autoencoders Project 1 - Coding P3_en.vtt 13.2 KB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1_en.vtt 13.1 KB
04 - AUTOENCODERS/006 Autoencoders CNN Dimensionality Review_en.vtt 13.1 KB
04 - AUTOENCODERS/004 Autoencoders Applications_en.vtt 13.0 KB
08 - TENSORFLOW SERVING AND TENSORBOARD/001 TF Serving Coding Part 1_en.vtt 12.9 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/008 ANN and CNN - Part 8_en.vtt 12.9 KB
05 - DEEP DREAM/001 What is Deep Dream_en.vtt 12.8 KB
03 - TRANSFER LEARNING (TF HUB)/012 Transfer Learning Project 2 - Coding P3_en.vtt 12.7 KB
05 - DEEP DREAM/005 Deep Dream Coding P2_en.vtt 12.4 KB
04 - AUTOENCODERS/008 Autoencoders Project 1 - Coding P2_en.vtt 11.8 KB
03 - TRANSFER LEARNING (TF HUB)/004 ImageNet_en.vtt 11.7 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/002 RNN Architecture_en.vtt 11.7 KB
08 - TENSORFLOW SERVING AND TENSORBOARD/005 Tensorboard Example 2_en.vtt 11.7 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/002 ANN and CNN - Part 2_en.vtt 11.1 KB
03 - TRANSFER LEARNING (TF HUB)/001 What is Transfer learning_en.vtt 11.1 KB
01 - INTRODUCTION AND COURSE OUTLINE/005 Machine Learning Big Picture_en.vtt 10.9 KB
08 - TENSORFLOW SERVING AND TENSORBOARD/002 TF Serving Coding Part 2_en.vtt 10.9 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/011 RNN Project #1 - Part #4_en.vtt 10.9 KB
06 - GANs/006 GANS Project 1 P1_en.vtt 10.7 KB
03 - TRANSFER LEARNING (TF HUB)/009 Transfer Learning Project 1 - Coding P5_en.vtt 10.7 KB
04 - AUTOENCODERS/005 Variational Autoencoders (VARS)_en.vtt 10.7 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/008 RNN Project #1 - Part #1_en.vtt 10.7 KB
01 - INTRODUCTION AND COURSE OUTLINE/002 Course Overview_en.vtt 10.6 KB
03 - TRANSFER LEARNING (TF HUB)/003 Transfer Learning Strategies_en.vtt 10.5 KB
01 - INTRODUCTION AND COURSE OUTLINE/009 Google Colab Demo_en.vtt 10.2 KB
03 - TRANSFER LEARNING (TF HUB)/011 Transfer Learning Project 2 - Coding P2_en.vtt 9.5 KB
01 - INTRODUCTION AND COURSE OUTLINE/011 Keras API_en.vtt 9.0 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/003 What makes RNN so special_en.vtt 9.0 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/009 RNN Project #1 - Part #2_en.vtt 8.6 KB
05 - DEEP DREAM/003 Deep Dream Simpified_en.vtt 8.3 KB
06 - GANs/005 GANs applications_en.vtt 8.1 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/009 Project 1 - Solution Part 1_en.vtt 8.0 KB
06 - GANs/002 Discriminator and Generator Networks_en.vtt 7.9 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/004 ANN and CNN - Part 4_en.vtt 7.9 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/010 RNN Project #1 - Part #3_en.vtt 7.8 KB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/006 ANN and CNN - Part 6_en.vtt 7.7 KB
05 - DEEP DREAM/006 Deep Dream Coding P3_en.vtt 7.6 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/004 RNN Math_en.vtt 7.5 KB
04 - AUTOENCODERS/003 Linear Autoencoders vs. PCA_en.vtt 7.5 KB
01 - INTRODUCTION AND COURSE OUTLINE/008 What is Google Colab_en.vtt 7.2 KB
03 - TRANSFER LEARNING (TF HUB)/010 Transfer Learning Project 2 - Coding P1_en.vtt 7.1 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/005 Fun with RNN_en.vtt 7.1 KB
05 - DEEP DREAM/004 Deep Dream Coding P1_en.vtt 6.8 KB
06 - GANs/009 GANS Project 1 P4_en.vtt 6.8 KB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/001 Recurrent Neural Networks Intuition_en.vtt 6.1 KB
06 - GANs/008 GANS Project 1 P3_en.vtt 5.4 KB
04 - AUTOENCODERS/011 Autoencoders Project 1 - Coding P5_en.vtt 5.3 KB
08 - TENSORFLOW SERVING AND TENSORBOARD/006 Distributed Strategy_en.vtt 4.5 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 2.7 KB
01 - INTRODUCTION AND COURSE OUTLINE/003 BONUS Learning Path.html 1.4 KB
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
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/external-assets-links.txt 123 bytes
0. Websites you may like/[CourseClub.ME].url 122 bytes
01 - INTRODUCTION AND COURSE OUTLINE/[CourseClub.Me].url 122 bytes
04 - AUTOENCODERS/[CourseClub.Me].url 122 bytes
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/[CourseClub.Me].url 122 bytes
[CourseClub.Me].url 122 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
0. Websites you may like/[GigaCourse.Com].url 49 bytes
01 - INTRODUCTION AND COURSE OUTLINE/[GigaCourse.Com].url 49 bytes
04 - AUTOENCODERS/[GigaCourse.Com].url 49 bytes
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes

[GigaCourse.Com] Udemy - TensorFlow 2.0 Practical Advanced

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