| 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 | ||
| [Tutorialsplanet.NET].url | 102.4 B | ||
| external-assets-links.txt | 307.2 B | ||
| ▲ 175 total files | |||
Udemy - TensorFlow 2.0 Practical Advanced [TP]
Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects
What you'll learn
Build, train, test and deploy Advanced Artificial Neural Networks (ANNs) models using Google’s newly released TensorFlow 2.0.
Understand the underlying theory and mathematics behind Generative Adversarial Neural Networks (GANs).
Apply revolutionary GANs to generate brand new images using Keras API in TF 2.0.
For more Udemy Courses: https://tutorialsplanet.net
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Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python Posted by
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