~Get Your Files Here !/6. GAN for MNIST and FASHION/3. Initial Setup.mp4 96.1 MB
~Get Your Files Here !/3. Artificial Neural Networks/1. Neural Networks.mp4 89.8 MB
~Get Your Files Here !/2. Machine Learning/1. Machine Learning.mp4 88.6 MB
~Get Your Files Here !/6. GAN for MNIST and FASHION/8. Create the Models.mp4 81.4 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 68.1 MB
~Get Your Files Here !/6. GAN for MNIST and FASHION/7. Load and Prepare the Dataset.mp4 67.2 MB
~Get Your Files Here !/7. Conditional GAN/1. Image-To-Image Translation.mp4 65.2 MB
~Get Your Files Here !/4. Deep Learning/12. Recurrent Neural Networks(RNNs).mp4 60.3 MB
~Get Your Files Here !/7. Conditional GAN/7. Training and Generate Image.mp4 54.7 MB
~Get Your Files Here !/2. Machine Learning/17. Design a Learning System.mp4 52.4 MB
~Get Your Files Here !/4. Deep Learning/8. Convolutional Neural Networks (CNNs).mp4 51.3 MB
~Get Your Files Here !/4. Deep Learning/4. Deep Learning Applications.mp4 45.0 MB
~Get Your Files Here !/2. Machine Learning/5. Supervised Learning.mp4 43.0 MB
~Get Your Files Here !/4. Deep Learning/1. What is Deep Learning.mp4 42.4 MB
~Get Your Files Here !/2. Machine Learning/13. Reinforcement Learning.mp4 41.7 MB
~Get Your Files Here !/3. Artificial Neural Networks/11. Multi-Layer Neural Networks.mp4 41.2 MB
~Get Your Files Here !/7. Conditional GAN/3. Build and Test the Generator.mp4 38.2 MB
~Get Your Files Here !/2. Machine Learning/7. Unsupervised Learning.mp4 36.0 MB
~Get Your Files Here !/8. Cycle GAN/1. Cycle GAN.mp4 34.2 MB
~Get Your Files Here !/2. Machine Learning/15. Learning Example.mp4 33.4 MB
~Get Your Files Here !/5. Generative Adversarial Networks/8. DCGANs.mp4 31.7 MB
~Get Your Files Here !/2. Machine Learning/11. Learning Methods Comparison.mp4 31.3 MB
~Get Your Files Here !/5. Generative Adversarial Networks/1. What is a GAN.mp4 30.1 MB
~Get Your Files Here !/4. Deep Learning/16. Long Short-Term Memory (LSTM).mp4 29.9 MB
~Get Your Files Here !/5. Generative Adversarial Networks/15. Cycle GAN.mp4 27.5 MB
~Get Your Files Here !/4. Deep Learning/20. Residual Neural Network Learning (ResNets).mp4 25.7 MB
~Get Your Files Here !/3. Artificial Neural Networks/15. Neural Network Example with Number.mp4 24.6 MB
~Get Your Files Here !/2. Machine Learning/9. Semi-Supervised Learning.mp4 24.1 MB
~Get Your Files Here !/3. Artificial Neural Networks/13. Activation Functions.mp4 23.6 MB
~Get Your Files Here !/2. Machine Learning/20. Leaning Error Types.mp4 21.1 MB
~Get Your Files Here !/3. Artificial Neural Networks/9. Single-Layer Neural Networks (Perceptron).mp4 20.2 MB
~Get Your Files Here !/5. Generative Adversarial Networks/13. Conditional GAN.mp4 20.1 MB
~Get Your Files Here !/6. GAN for MNIST and FASHION/10. Define and Train the Model.mp4 15.6 MB
~Get Your Files Here !/5. Generative Adversarial Networks/6. Type of GANs.mp4 15.5 MB
~Get Your Files Here !/5. Generative Adversarial Networks/11. SGAN.mp4 15.4 MB
~Get Your Files Here !/6. GAN for MNIST and FASHION/1. MNIST using GAN.mp4 14.9 MB
~Get Your Files Here !/2. Machine Learning/22. Underfitting and Overfitting.mp4 14.2 MB
~Get Your Files Here !/6. GAN for MNIST and FASHION/5. MMNIST Handwritten Digit Dataset.mp4 12.9 MB
~Get Your Files Here !/4. Deep Learning/6. Deep Learning Algorithms and Architectures.mp4 12.6 MB
~Get Your Files Here !/5. Generative Adversarial Networks/4. GAN Applications.mp4 12.2 MB
~Get Your Files Here !/3. Artificial Neural Networks/8. Applications of Artificial Neural Networks.mp4 9.7 MB
~Get Your Files Here !/7. Conditional GAN/5. Build the Discriminator.mp4 7.7 MB
~Get Your Files Here !/1. Introduction/1.1 Introduction.pdf 2.7 MB
~Get Your Files Here !/2. Machine Learning/1.1 Lecture 2.pdf 1.1 MB
~Get Your Files Here !/6. GAN for MNIST and FASHION/3. Initial Setup.srt 7.8 kB
~Get Your Files Here !/2. Machine Learning/1. Machine Learning.srt 7.5 kB
~Get Your Files Here !/3. Artificial Neural Networks/1. Neural Networks.srt 7.4 kB
~Get Your Files Here !/6. GAN for MNIST and FASHION/8. Create the Models.srt 7.0 kB
~Get Your Files Here !/6. GAN for MNIST and FASHION/7. Load and Prepare the Dataset.srt 6.3 kB
~Get Your Files Here !/4. Deep Learning/12. Recurrent Neural Networks(RNNs).srt 5.9 kB
~Get Your Files Here !/1. Introduction/1. Introduction.srt 5.5 kB
~Get Your Files Here !/4. Deep Learning/8. Convolutional Neural Networks (CNNs).srt 5.2 kB
~Get Your Files Here !/2. Machine Learning/17. Design a Learning System.srt 4.4 kB
~Get Your Files Here !/2. Machine Learning/5. Supervised Learning.srt 4.2 kB
~Get Your Files Here !/4. Deep Learning/16. Long Short-Term Memory (LSTM).srt 4.2 kB
~Get Your Files Here !/7. Conditional GAN/1. Image-To-Image Translation.srt 4.2 kB
~Get Your Files Here !/2. Machine Learning/7. Unsupervised Learning.srt 3.7 kB
~Get Your Files Here !/2. Machine Learning/13. Reinforcement Learning.srt 3.5 kB
~Get Your Files Here !/5. Generative Adversarial Networks/8. DCGANs.srt 3.1 kB
~Get Your Files Here !/2. Machine Learning/9. Semi-Supervised Learning.srt 3.1 kB
~Get Your Files Here !/3. Artificial Neural Networks/11. Multi-Layer Neural Networks.srt 3.0 kB
~Get Your Files Here !/4. Deep Learning/1. What is Deep Learning.srt 2.7 kB
~Get Your Files Here !/4. Deep Learning/4. Deep Learning Applications.srt 2.7 kB
~Get Your Files Here !/2. Machine Learning/15. Learning Example.srt 2.6 kB
~Get Your Files Here !/5. Generative Adversarial Networks/1. What is a GAN.srt 2.6 kB
~Get Your Files Here !/8. Cycle GAN/1. Cycle GAN.srt 2.6 kB
~Get Your Files Here !/4. Deep Learning/20. Residual Neural Network Learning (ResNets).srt 2.6 kB
~Get Your Files Here !/7. Conditional GAN/3. Build and Test the Generator.srt 2.5 kB
~Get Your Files Here !/7. Conditional GAN/7. Training and Generate Image.srt 2.5 kB
~Get Your Files Here !/2. Machine Learning/11. Learning Methods Comparison.srt 2.3 kB
~Get Your Files Here !/3. Artificial Neural Networks/8. Applications of Artificial Neural Networks.srt 2.3 kB
~Get Your Files Here !/5. Generative Adversarial Networks/13. Conditional GAN.srt 2.2 kB
~Get Your Files Here !/3. Artificial Neural Networks/13. Activation Functions.srt 2.2 kB
~Get Your Files Here !/5. Generative Adversarial Networks/15. Cycle GAN.srt 2.1 kB
~Get Your Files Here !/7. Conditional GAN/5. Build the Discriminator.srt 1.8 kB
~Get Your Files Here !/6. GAN for MNIST and FASHION/1. MNIST using GAN.srt 1.8 kB
~Get Your Files Here !/3. Artificial Neural Networks/15. Neural Network Example with Number.srt 1.7 kB
~Get Your Files Here !/2. Machine Learning/20. Leaning Error Types.srt 1.6 kB
~Get Your Files Here !/3. Artificial Neural Networks/9. Single-Layer Neural Networks (Perceptron).srt 1.6 kB
~Get Your Files Here !/6. GAN for MNIST and FASHION/10. Define and Train the Model.srt 1.5 kB
~Get Your Files Here !/5. Generative Adversarial Networks/11. SGAN.srt 1.5 kB
~Get Your Files Here !/2. Machine Learning/22. Underfitting and Overfitting.srt 1.3 kB
~Get Your Files Here !/6. GAN for MNIST and FASHION/5. MMNIST Handwritten Digit Dataset.srt 1.2 kB
~Get Your Files Here !/4. Deep Learning/6. Deep Learning Algorithms and Architectures.srt 1.1 kB
~Get Your Files Here !/5. Generative Adversarial Networks/4. GAN Applications.srt 953 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/6. Type of GANs.srt 853 Bytes
~Get Your Files Here !/4. Deep Learning/8.1 What is a Convolutional Neural Network.html 464 Bytes
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
~Get Your Files Here !/4. Deep Learning/16.1 Understanding LSTM Networks.html 229 Bytes
~Get Your Files Here !/2. Machine Learning/25. Linear Regression.html 215 Bytes
~Get Your Files Here !/2. Machine Learning/26. SVM.html 215 Bytes
~Get Your Files Here !/2. Machine Learning/27. Classification model Benchmark.html 215 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/17. Classification.html 215 Bytes
~Get Your Files Here !/4. Deep Learning/22. Classification flowers.html 215 Bytes
~Get Your Files Here !/4. Deep Learning/23. CNN.html 215 Bytes
~Get Your Files Here !/4. Deep Learning/24. Text Classification RNN.html 215 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/18. Simple GAN.html 215 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/19. Deep Dream.html 215 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/20. Style Transfer.html 215 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/13. DCGAN-MNIST.html 215 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/14. DCGAN-Fashion.html 215 Bytes
~Get Your Files Here !/7. Conditional GAN/10. Pix2Pix.html 215 Bytes
~Get Your Files Here !/7. Conditional GAN/9. Conditional GAN.html 215 Bytes
~Get Your Files Here !/8. Cycle GAN/4. Cycle GAN.html 215 Bytes
~Get Your Files Here !/2. Machine Learning/10. Semi-Supervised Learning.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/12. Learning Methods Comparison.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/14. Reinforcement Learning.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/16. Learning Example.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/18. Design a Learning System.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/19. Design a Learning System.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/2. Machine Learning.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/21. Leaning Error Types.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/23. Underfitting and Overfitting.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/24. Underfitting and Overfitting.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/3. Machine Learning.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/4. Machine Learning.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/6. Supervised Learning.html 211 Bytes
~Get Your Files Here !/2. Machine Learning/8. Unsupervised Learning.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/10. Single-Layer Neural Networks (Perceptron).html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/12. Multi-Layer Neural Networks.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/14. Activation Functions.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/16. Neural Networks Example with Number.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/2. Neural Networks.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/3. Neural Networks.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/4. Neural Networks.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/5. Neural Networks.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/6. Neural Networks.html 211 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/7. Neural Networks.html 211 Bytes
~Get Your Files Here !/4. Deep Learning/10. Convolutional Neural Networks (CNNs).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/11. Convolutional Neural Networks (CNNs).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/13. Recurrent Neural Networks(RNNs).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/14. Recurrent Neural Networks(RNNs).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/15. Recurrent Neural Networks(RNNs).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/17. Long Short-Term Memory (LSTM).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/18. Long Short-Term Memory (LSTM).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/19. Long Short-Term Memory (LSTM).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/2. What is Deep Learning.html 211 Bytes
~Get Your Files Here !/4. Deep Learning/21. Residual Neural Network Learning (ResNets).html 211 Bytes
~Get Your Files Here !/4. Deep Learning/3. What is Deep Learning.html 211 Bytes
~Get Your Files Here !/4. Deep Learning/5. Deep Learning Applications.html 211 Bytes
~Get Your Files Here !/4. Deep Learning/7. Deep Learning Algorithms and Architectures.html 211 Bytes
~Get Your Files Here !/4. Deep Learning/9. Convolutional Neural Networks (CNNs).html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/10. DCGANs.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/12. SGAN.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/14. Conditional GAN.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/16. Cycle GAN.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/17. Cycle GAN.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/2. What is a GAN.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/3. What is a GAN.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/5. GAN Applications.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/7. Type of GANs.html 211 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/9. DCGANs.html 211 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/11. Define and Train the Model.html 211 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/12. Train the Model.html 211 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/2. MNIST using GAN.html 211 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/4. Initial Setup.html 211 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/6. MMNIST Handwritten Digit Dataset.html 211 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/9. Create the Models.html 211 Bytes
~Get Your Files Here !/7. Conditional GAN/2. Image-To-Image Translation.html 211 Bytes
~Get Your Files Here !/7. Conditional GAN/4. Build and Test the Generator.html 211 Bytes
~Get Your Files Here !/7. Conditional GAN/6. Build the Discriminator.html 211 Bytes
~Get Your Files Here !/7. Conditional GAN/8. Training and Generate Image.html 211 Bytes
~Get Your Files Here !/8. Cycle GAN/2. Cycle GAN.html 211 Bytes
~Get Your Files Here !/8. Cycle GAN/3. Cycle GAN.html 211 Bytes
Get Bonus Downloads Here.url 183 Bytes
~Get Your Files Here !/4. Deep Learning/1.1 Deep Learning.html 174 Bytes
~Get Your Files Here !/4. Deep Learning/6.1 Deep Learning.html 174 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/8.1 Applications of neural networks.html 162 Bytes
~Get Your Files Here !/2. Machine Learning/22.1 Underfitting and Overfitting in Machine Learning.html 158 Bytes
~Get Your Files Here !/2. Machine Learning/15.1 Machine Learning 6 Real-World Examples.html 148 Bytes
~Get Your Files Here !/4. Deep Learning/12.1 Recurrent Neural Networks.html 144 Bytes
~Get Your Files Here !/2. Machine Learning/7.1 Unsupervised Learning Foundations of Neural Computation.html 142 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/4.1 Applications of GANs.html 141 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/11.1 Multilayer Perceptron.html 137 Bytes
~Get Your Files Here !/2. Machine Learning/11.1 SuperVize Me What’s the Difference Between Supervised, Unsupervised, Semi-Supervised and Reinforcement Learning.html 135 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/13.1 What is an Activation Function.html 135 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/9.1 What is a Perceptron.html 126 Bytes
~Get Your Files Here !/2. Machine Learning/13.1 Reinforcement Learning A Survey.html 121 Bytes
~Get Your Files Here !/3. Artificial Neural Networks/1.1 Neural Networks and Learning Machines.html 121 Bytes
~Get Your Files Here !/2. Machine Learning/9.1 Semi-Supervised Learning Literature Survey.html 114 Bytes
~Get Your Files Here !/4. Deep Learning/4.1 Deep Learning Methods and Applications.html 106 Bytes
~Get Your Files Here !/2. Machine Learning/1.2 Probabilistic Machine Learning Advanced Topics.html 105 Bytes
~Get Your Files Here !/2. Machine Learning/20.1 Probabilistic Machine Learning Advanced Topics.html 105 Bytes
~Get Your Files Here !/2. Machine Learning/17.1 Machine Learning.html 104 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/1.1 Generative Adversarial Nets.html 96 Bytes
~Get Your Files Here !/5. Generative Adversarial Networks/6.1 GAN Applications.html 94 Bytes
~Get Your Files Here !/6. GAN for MNIST and FASHION/5.1 MNIST.html 94 Bytes
~Get Your Files Here !/2. Machine Learning/5.1 Artificial Intelligence A Modern Approach.html 89 Bytes