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[ DevCourseWeb com ] Udemy - Generative Adversarial Networks (GANs) in Practice
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01 - Introduction
001 Introduction.mp4
001 Introduction_en.vtt
36659484-Introduction.pdf
02 - Machine Learning
001 Machine Learning.mp4
001 Machine Learning_en.vtt
002 Supervised Learning.mp4
002 Supervised Learning_en.vtt
003 Unsupervised Learning.mp4
003 Unsupervised Learning_en.vtt
004 Semi-Supervised Learning.mp4
004 Semi-Supervised Learning_en.vtt
005 Learning Methods Comparison.mp4
005 Learning Methods Comparison_en.vtt
006 Reinforcement Learning.mp4
006 Reinforcement Learning_en.vtt
007 Learning Example.mp4
007 Learning Example_en.vtt
008 Design a Learning System.mp4
008 Design a Learning System_en.vtt
009 Leaning Error Types.mp4
009 Leaning Error Types_en.vtt
010 Underfitting and Overfitting.mp4
010 Underfitting and Overfitting_en.vtt
011 Clustering-kmeans.mp4
011 Clustering-kmeans_en.vtt
012 Data Preprocessing.mp4
012 Data Preprocessing_en.vtt
013 Coding Example using Scikit-Learn.mp4
013 Coding Example using Scikit-Learn_en.vtt
36660332-Lecture-2.pdf
38190436-clustering.ipynb
external-assets-links.txt
03 - Artificial Neural Networks
001 Neural Networks.mp4
001 Neural Networks_en.vtt
002 Applications of Artificial Neural Networks.mp4
002 Applications of Artificial Neural Networks_en.vtt
003 Single-Layer Neural Networks (Perceptron).mp4
003 Single-Layer Neural Networks (Perceptron)_en.vtt
004 Multi-Layer Neural Networks.mp4
004 Multi-Layer Neural Networks_en.vtt
005 Activation Functions.mp4
005 Activation Functions_en.vtt
006 Neural Network Example with Number.mp4
006 Neural Network Example with Number_en.vtt
007 TensorFlow Practicing.mp4
007 TensorFlow Practicing_en.vtt
008 TensorFlow Practicing-MLP.mp4
008 TensorFlow Practicing-MLP_en.vtt
39379018-lect-21.ipynb
39380246-TensorFlow-MLP.ipynb
external-assets-links.txt
04 - Deep Learning
001 What is Deep Learning.mp4
001 What is Deep Learning_en.vtt
002 Deep Learning Applications.mp4
002 Deep Learning Applications_en.vtt
003 Deep Learning Algorithms and Architectures.mp4
003 Deep Learning Algorithms and Architectures_en.vtt
004 Convolutional Neural Networks (CNNs).mp4
004 Convolutional Neural Networks (CNNs)_en.vtt
005 Recurrent Neural Networks(RNNs).mp4
005 Recurrent Neural Networks(RNNs)_en.vtt
006 Long Short-Term Memory (LSTM).mp4
006 Long Short-Term Memory (LSTM)_en.vtt
007 Residual Neural Network Learning (ResNets).mp4
007 Residual Neural Network Learning (ResNets)_en.vtt
008 Classifying Images with Deep Convolutional Neural Networks.mp4
008 Classifying Images with Deep Convolutional Neural Networks_en.vtt
009 Modeling Sequential Data Using Recurrent Neural Networks.mp4
009 Modeling Sequential Data Using Recurrent Neural Networks_en.vtt
39503732-image-classifying-using-DNN-p1.ipynb
39534670-RNN-p1.ipynb
external-assets-links.txt
movie_data.csv
05 - Generative Adversarial Networks
001 What is a GAN.mp4
001 What is a GAN_en.vtt
002 GAN Applications.mp4
002 GAN Applications_en.vtt
003 Type of GANs.mp4
003 Type of GANs_en.vtt
004 DCGANs.mp4
004 DCGANs_en.vtt
005 SGAN.mp4
005 SGAN_en.vtt
006 Conditional GAN.mp4
006 Conditional GAN_en.vtt
007 Cycle GAN.mp4
007 Cycle GAN_en.vtt
008 Simple Gan.mp4
008 Simple Gan_en.vtt
009 DCGAN.mp4
009 DCGAN_en.vtt
39534952-First-GAN.ipynb
39535112-DCGAN.ipynb
external-assets-links.txt
06 - GAN for MNIST and FASHION
001 MNIST using GAN.mp4
001 MNIST using GAN_en.vtt
002 Initial Setup.mp4
002 Initial Setup_en.vtt
003 MMNIST Handwritten Digit Dataset.mp4
003 MMNIST Handwritten Digit Dataset_en.vtt
004 Load and Prepare the Dataset.mp4
004 Load and Prepare the Dataset_en.vtt
005 Create the Models.mp4
005 Create the Models_en.vtt
006 Define and Train the Model.mp4
006 Define and Train the Model_en.vtt
external-assets-links.txt
07 - Conditional GAN
001 Image-To-Image Translation.mp4
001 Image-To-Image Translation_en.vtt
002 Build and Test the Generator.mp4
002 Build and Test the Generator_en.vtt
003 Build the Discriminator.mp4
003 Build the Discriminator_en.vtt
004 Training and Generate Image.mp4
004 Training and Generate Image_en.vtt
08 - Cycle GAN
001 Cycle GAN.mp4
001 Cycle GAN_en.vtt
Bonus Resources.txt
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