| 001 ANN and CNN - Part 1.mp4 | 142.4 MB | ||
| 001 ANN and CNN - Part 1_en.vtt | 23.8 KB | ||
| 001 Autoencoders intuition.mp4 | 118.6 MB | ||
| 001 Autoencoders intuition_en.vtt | 15.9 KB | ||
| 001 Course Introduction and Welcome Message.mp4 | 47.4 MB | ||
| 001 Course Introduction and Welcome Message_en.vtt | 2.7 KB | ||
| 001 GANS intuition.mp4 | 91 MB | ||
| 001 GANS intuition_en.vtt | 14.7 KB | ||
| 001 Recurrent Neural Networks Intuition.mp4 | 38.6 MB | ||
| 001 Recurrent Neural Networks Intuition_en.vtt | 6.1 KB | ||
| 001 TF Serving Coding Part 1.mp4 | 71.8 MB | ||
| 001 TF Serving Coding Part 1_en.vtt | 12.9 KB | ||
| 001 What is Deep Dream.mp4 | 194 MB | ||
| 001 What is Deep Dream_en.vtt | 12.8 KB | ||
| 001 What is Transfer learning.mp4 | 68.8 MB | ||
| 001 What is Transfer learning_en.vtt | 11.1 KB | ||
| 002 ANN and CNN - Part 2.mp4 | 41.8 MB | ||
| 002 ANN and CNN - Part 2_en.vtt | 11.1 KB | ||
| 002 Autencoders Math.mp4 | 52.3 MB | ||
| 002 Autencoders Math_en.vtt | 18.6 KB | ||
| 002 Course Overview.mp4 | 55.8 MB | ||
| 002 Course Overview_en.vtt | 10.6 KB | ||
| 002 Discriminator and Generator Networks.mp4 | 46.4 MB | ||
| 002 Discriminator and Generator Networks_en.vtt | 7.9 KB | ||
| 002 How does DeepDream Algo work.mp4 | 155.1 MB | ||
| 002 How does DeepDream Algo work_en.vtt | 21.3 KB | ||
| 002 RNN Architecture.mp4 | 49.4 MB | ||
| 002 RNN Architecture_en.vtt | 11.7 KB | ||
| 002 TF Serving Coding Part 2.mp4 | 63.4 MB | ||
| 002 TF Serving Coding Part 2_en.vtt | 10.9 KB | ||
| 002 Transfer Learning Process.mp4 | 75.9 MB | ||
| 002 Transfer Learning Process_en.vtt | 13.9 KB | ||
| 003 ANN and CNN - Part 3.mp4 | 42.1 MB | ||
| 003 ANN and CNN - Part 3_en.vtt | 18.1 KB | ||
| 003 BONUS Learning Path.html | 1.4 KB | ||
| 003 Deep Dream Simpified.mp4 | 29.4 MB | ||
| 003 Deep Dream Simpified_en.vtt | 8.3 KB | ||
| 003 Let's put the Discriminator and Generator together.mp4 | 87.7 MB | ||
| 003 Let's put the Discriminator and Generator together_en.vtt | 18.5 KB | ||
| 003 Linear Autoencoders vs. PCA.mp4 | 44.5 MB | ||
| 003 Linear Autoencoders vs. PCA_en.vtt | 7.5 KB | ||
| 003 TF Serving Coding Part 3.mp4 | 97.3 MB | ||
| 003 TF Serving Coding Part 3_en.vtt | 16.7 KB | ||
| 003 Transfer Learning Strategies.mp4 | 26.4 MB | ||
| 003 Transfer Learning Strategies_en.vtt | 10.5 KB | ||
| 003 What makes RNN so special.mp4 | 26.6 MB | ||
| 003 What makes RNN so special_en.vtt | 9 KB | ||
| 004 ANN and CNN - Part 4.mp4 | 39.4 MB | ||
| 004 ANN and CNN - Part 4_en.vtt | 7.9 KB | ||
| 004 Autoencoders Applications.mp4 | 41.1 MB | ||
| 004 Autoencoders Applications_en.vtt | 13 KB | ||
| 004 Deep Dream Coding P1.mp4 | 42 MB | ||
| 004 Deep Dream Coding P1_en.vtt | 6.8 KB | ||
| 004 GAN Lab.mp4 | 48.8 MB | ||
| 004 GAN Lab_en.vtt | 16.5 KB | ||
| 004 ImageNet.mp4 | 30.8 MB | ||
| 004 ImageNet_en.vtt | 11.7 KB | ||
| 004 ML, AI and DL.mp4 | 91.7 MB | ||
| 004 ML, AI and DL_en.vtt | 16 KB | ||
| 004 RNN Math.mp4 | 28 MB | ||
| 004 RNN Math_en.vtt | 7.5 KB | ||
| 004 Tensorboard Example 1.mp4 | 75.7 MB | ||
| 004 Tensorboard Example 1_en.vtt | 16.9 KB | ||
| 005 ANN and CNN - Part 5.mp4 | 86.7 MB | ||
| 005 ANN and CNN - Part 5_en.vtt | 13.8 KB | ||
| 005 Deep Dream Coding P2.mp4 | 73.1 MB | ||
| 005 Deep Dream Coding P2_en.vtt | 12.4 KB | ||
| 005 Fun with RNN.mp4 | 55.8 MB | ||
| 005 Fun with RNN_en.vtt | 7.1 KB | ||
| 005 GANs applications.mp4 | 56.7 MB | ||
| 005 GANs applications_en.vtt | 8.1 KB | ||
| 005 Machine Learning Big Picture.mp4 | 59.1 MB | ||
| 005 Machine Learning Big Picture_en.vtt | 10.9 KB | ||
| 005 Tensorboard Example 2.mp4 | 78.3 MB | ||
| 005 Tensorboard Example 2_en.vtt | 11.7 KB | ||
| 005 Transfer Learning Project 1 - Coding P1.mp4 | 89.5 MB | ||
| 005 Transfer Learning Project 1 - Coding P1_en.vtt | 13.1 KB | ||
| 005 Variational Autoencoders (VARS).mp4 | 52.9 MB | ||
| 005 Variational Autoencoders (VARS)_en.vtt | 10.7 KB | ||
| 006 ANN and CNN - Part 6.mp4 | 42.5 MB | ||
| 006 ANN and CNN - Part 6_en.vtt | 7.7 KB | ||
| 006 Autoencoders CNN Dimensionality Review.mp4 | 30.6 MB | ||
| 006 Autoencoders CNN Dimensionality Review_en.vtt | 13.1 KB | ||
| 006 Deep Dream Coding P3.mp4 | 34.7 MB | ||
| 006 Deep Dream Coding P3_en.vtt | 7.6 KB | ||
| 006 Distributed Strategy.mp4 | 26 MB | ||
| 006 Distributed Strategy_en.vtt | 4.5 KB | ||
| 006 GANS Project 1 P1.mp4 | 48.8 MB | ||
| 006 GANS Project 1 P1_en.vtt | 10.7 KB | ||
| 006 TF 2.0 and Google Colab Overview.mp4 | 5.7 MB | ||
| 006 TF 2.0 and Google Colab Overview_en.vtt | 2.8 KB | ||
| 006 Transfer Learning Project 1 - Coding P2.mp4 | 109.5 MB | ||
| 006 Transfer Learning Project 1 - Coding P2_en.vtt | 19.4 KB | ||
| 006 Vanishing Gradient Problem.mp4 | 95.6 MB | ||
| 006 Vanishing Gradient Problem_en.vtt | 16.5 KB | ||
| 007 ANN and CNN - Part 7.mp4 | 95.7 MB | ||
| 007 ANN and CNN - Part 7_en.vtt | 20.6 KB | ||
| 007 Autoencoders Project 1 - Coding P1.mp4 | 78 MB | ||
| 007 Autoencoders Project 1 - Coding P1_en.vtt | 13.2 KB | ||
| 007 Deep Dream Coding P4.mp4 | 97.2 MB | ||
| 007 Deep Dream Coding P4_en.vtt | 15.8 KB | ||
| 007 GANS Project 1 P2.mp4 | 69.9 MB | ||
| 007 GANS Project 1 P2_en.vtt | 14.2 KB | ||
| 007 Long Short Term Memory LSTM.mp4 | 92.2 MB | ||
| 007 Long Short Term Memory LSTM_en.vtt | 24.2 KB | ||
| 007 Transfer Learning Project 1 - Coding P3.mp4 | 88.3 MB | ||
| 007 Transfer Learning Project 1 - Coding P3_en.vtt | 14.2 KB | ||
| 007 Whats New in TensorFlow 2.0.mp4 | 219 MB | ||
| 007 Whats New in TensorFlow 2.0_en.vtt | 20.2 KB | ||
| 008 ANN and CNN - Part 8.mp4 | 43.8 MB | ||
| 008 ANN and CNN - Part 8_en.vtt | 12.9 KB | ||
| 008 Autoencoders Project 1 - Coding P2.mp4 | 72.1 MB | ||
| 008 Autoencoders Project 1 - Coding P2_en.vtt | 11.8 KB | ||
| 008 Deep Dream Coding P5.mp4 | 211 MB | ||
| 008 Deep Dream Coding P5_en.vtt | 26.5 KB | ||
| 008 GANS Project 1 P3.mp4 | 26.2 MB | ||
| 008 GANS Project 1 P3_en.vtt | 5.4 KB | ||
| 008 RNN Project #1 - Part #1.mp4 | 48.6 MB | ||
| 008 RNN Project #1 - Part #1_en.vtt | 10.7 KB | ||
| 008 Transfer Learning Project 1 - Coding P4.mp4 | 84.9 MB | ||
| 008 Transfer Learning Project 1 - Coding P4_en.vtt | 15.8 KB | ||
| 008 What is Google Colab.mp4 | 20.6 MB | ||
| 008 What is Google Colab_en.vtt | 7.2 KB | ||
| 009 Autoencoders Project 1 - Coding P3.mp4 | 81 MB | ||
| 009 Autoencoders Project 1 - Coding P3_en.vtt | 13.2 KB | ||
| 009 GANS Project 1 P4.mp4 | 40.2 MB | ||
| 009 GANS Project 1 P4_en.vtt | 6.8 KB | ||
| 009 Google Colab Demo.mp4 | 14.8 MB | ||
| 009 Google Colab Demo_en.vtt | 10.2 KB | ||
| 009 Project 1 - Solution Part 1.mp4 | 49.6 MB | ||
| 009 Project 1 - Solution Part 1_en.vtt | 8 KB | ||
| 009 RNN Project #1 - Part #2.mp4 | 36.4 MB | ||
| 009 RNN Project #1 - Part #2_en.vtt | 8.6 KB | ||
| 009 Transfer Learning Project 1 - Coding P5.mp4 | 68.5 MB | ||
| 009 Transfer Learning Project 1 - Coding P5_en.vtt | 10.7 KB | ||
| 010 Autoencoders Project 1 - Coding P4.mp4 | 76.5 MB | ||
| 010 Autoencoders Project 1 - Coding P4_en.vtt | 13.4 KB | ||
| 010 Eager Execution.mp4 | 84.4 MB | ||
| 010 Eager Execution_en.vtt | 13.7 KB | ||
| 010 GANS Project 1 P5.mp4 | 97.4 MB | ||
| 010 GANS Project 1 P5_en.vtt | 17.1 KB | ||
| 010 Project 1 - Solution Part 2.mp4 | 101.4 MB | ||
| 010 Project 1 - Solution Part 2_en.vtt | 16.9 KB | ||
| 010 RNN Project #1 - Part #3.mp4 | 46.3 MB | ||
| 010 RNN Project #1 - Part #3_en.vtt | 7.8 KB | ||
| 010 Transfer Learning Project 2 - Coding P1.mp4 | 32.2 MB | ||
| 010 Transfer Learning Project 2 - Coding P1_en.vtt | 7.1 KB | ||
| 011 Autoencoders Project 1 - Coding P5.mp4 | 24.6 MB | ||
| 011 Autoencoders Project 1 - Coding P5_en.vtt | 5.3 KB | ||
| 011 Keras API.mp4 | 51.5 MB | ||
| 011 Keras API_en.vtt | 9 KB | ||
| 011 RNN Project #1 - Part #4.mp4 | 51.3 MB | ||
| 011 RNN Project #1 - Part #4_en.vtt | 10.9 KB | ||
| 011 Transfer Learning Project 2 - Coding P2.mp4 | 62.5 MB | ||
| 011 Transfer Learning Project 2 - Coding P2_en.vtt | 9.5 KB | ||
| 012 Autoencoders Project 2 - Coding P1.mp4 | 73.8 MB | ||
| 012 Autoencoders Project 2 - Coding P1_en.vtt | 15.9 KB | ||
| 012 Get the materials.html | 307.2 B | ||
| 012 Transfer Learning Project 2 - Coding P3.mp4 | 79 MB | ||
| 012 Transfer Learning Project 2 - Coding P3_en.vtt | 12.7 KB | ||
| 013 Autoencoders Project 2 - Coding P2.mp4 | 140.6 MB | ||
| 013 Autoencoders Project 2 - Coding P2_en.vtt | 27.8 KB | ||
| 20076800-TF-2.0-Practical-Advanced-Course-Package.zip | 20.3 MB | ||
| 20086730-Transfer-Learning-Data.zip | 5.4 MB | ||
| 20086990-StaryNight.jpg?042148 | 474.7 KB | ||
| 20087012-traffic-signs-data.zip | 115.8 MB | ||
| [CourseClub.ME].url | 102.4 B | ||
| [CourseClub.Me].url | 102.4 B | ||
| [GigaCourse.Com].url | 0 B | ||
| external-assets-links.txt | 307.2 B | ||
| ▲ 184 total files | |||
TensorFlow 2.0 Practical Advanced
Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects
Created by Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard
Last updated 2/2021
English
English [Auto]
For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me
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