UdemyCourseDownloader Artificial Intelligence Masterclass | EC8F5AB8537179A4FD206FC0D96F66F4AAF43D34

UdemyCourseDownloader Artificial Intelligence Masterclass

Name	[UdemyCourseDownloader] Artificial Intelligence Masterclass	DOWNLOAD Copy Link
Total Size	6.6 GB
Total Files	230
Hash	EC8F5AB8537179A4FD206FC0D96F66F4AAF43D34

/12. The Final Run/
1. The Whole Implementation.mp4	286.9 MB
1. The Whole Implementation.srt	29.0 KB
1. The Whole Implementation.vtt	25.5 KB
2. Download the whole AI Masterclass folder here.html	1.0 KB
2.1 AI Masterclass.zip.zip	17.9 MB
3. Installing the required packages.mp4	166.4 MB
3. Installing the required packages.srt	17.9 KB
3. Installing the required packages.vtt	15.3 KB
4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4	131.2 MB
4. The Final Race Human Intelligence vs. Artificial Intelligence.srt	16.2 KB
4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt	13.8 KB
5. THANK YOU bonus video.mp4	30.6 MB
5. THANK YOU bonus video.srt	2.4 KB
5. THANK YOU bonus video.vtt	2.1 KB
/
udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
/1. Introduction/
1. Updates on Udemy Reviews.mp4	23.1 MB
1. Updates on Udemy Reviews.srt	3.6 KB
1. Updates on Udemy Reviews.vtt	3.1 KB
2. Introduction + Course Structure + Demo.mp4	204.8 MB
2. Introduction + Course Structure + Demo.srt	22.5 KB
2. Introduction + Course Structure + Demo.vtt	19.6 KB
3. BONUS Learning Paths.html	2.4 KB
4. Your Three Best Resources.mp4	141.0 MB
4. Your Three Best Resources.srt	13.6 KB
4. Your Three Best Resources.vtt	12.1 KB
5. Download the Resources here.html	0.8 KB
6. Meet your instructors!.html	0.7 KB
/2. Step 1 - Artificial Neural Network/
1. Welcome to Step 1 - Artificial Neural Network.html	0.6 KB
2. Plan of Attack.mp4	16.6 MB
2. Plan of Attack.srt	4.0 KB
2. Plan of Attack.vtt	3.6 KB
3. The Neuron.mp4	103.6 MB
3. The Neuron.srt	25.2 KB
3. The Neuron.vtt	22.1 KB
4. The Activation Function.mp4	47.6 MB
4. The Activation Function.srt	12.1 KB
4. The Activation Function.vtt	10.7 KB
5. How do Neural Networks work.mp4	85.9 MB
5. How do Neural Networks work.srt	19.5 KB
5. How do Neural Networks work.vtt	17.2 KB
6. How do Neural Networks learn.mp4	117.6 MB
6. How do Neural Networks learn.srt	19.4 KB
6. How do Neural Networks learn.vtt	16.9 KB
7. Gradient Descent.mp4	63.6 MB
7. Gradient Descent.srt	14.5 KB
7. Gradient Descent.vtt	12.6 KB
8. Stochastic Gradient Descent.mp4	70.6 MB
8. Stochastic Gradient Descent.srt	12.5 KB
8. Stochastic Gradient Descent.vtt	11.0 KB
9. Backpropagation.mp4	45.2 MB
9. Backpropagation.srt	7.5 KB
9. Backpropagation.vtt	6.6 KB
/3. Step 2 - Convolutional Neural Network/
1. Welcome to Step 2 - Convolutional Neural Network.html	0.4 KB
2. Plan of Attack.mp4	22.9 MB
2. Plan of Attack.srt	5.5 KB
2. Plan of Attack.vtt	4.8 KB
3. What are Convolutional Neural Networks.mp4	113.2 MB
3. What are Convolutional Neural Networks.srt	22.7 KB
3. What are Convolutional Neural Networks.vtt	19.9 KB
4. Step 1 - The Convolution Operation.mp4	102.7 MB
4. Step 1 - The Convolution Operation.srt	23.8 KB
4. Step 1 - The Convolution Operation.vtt	20.9 KB
5. Step 1 Bis - The ReLU Layer.mp4	56.0 MB
5. Step 1 Bis - The ReLU Layer.srt	9.5 KB
5. Step 1 Bis - The ReLU Layer.vtt	8.4 KB
6. Step 2 - Pooling.mp4	147.0 MB
6. Step 2 - Pooling.srt	21.5 KB
6. Step 2 - Pooling.vtt	18.8 KB
7. Step 3 - Flattening.mp4	8.3 MB
7. Step 3 - Flattening.srt	2.6 KB
7. Step 3 - Flattening.vtt	2.3 KB
8. Step 4 - Full Connection.mp4	203.7 MB
8. Step 4 - Full Connection.srt	29.2 KB
8. Step 4 - Full Connection.vtt	25.6 KB
9. Summary.mp4	31.8 MB
9. Summary.srt	6.2 KB
9. Summary.vtt	5.5 KB
10. Softmax & Cross-Entropy.mp4	123.7 MB
10. Softmax & Cross-Entropy.srt	25.9 KB
10. Softmax & Cross-Entropy.vtt	22.7 KB
/4. Step 3 - AutoEncoder/
1. Welcome to Step 3 - AutoEncoder.html	0.4 KB
2. Plan of Attack.mp4	16.6 MB
2. Plan of Attack.srt	3.3 KB
2. Plan of Attack.vtt	2.9 KB
3. What are AutoEncoders.mp4	99.2 MB
3. What are AutoEncoders.srt	16.7 KB
3. What are AutoEncoders.vtt	14.7 KB
4. A Note on Biases.mp4	9.0 MB
4. A Note on Biases.srt	2.1 KB
4. A Note on Biases.vtt	1.8 KB
5. Training an AutoEncoder.mp4	52.7 MB
5. Training an AutoEncoder.srt	9.8 KB
5. Training an AutoEncoder.vtt	8.6 KB
6. Overcomplete Hidden Layers.mp4	29.4 MB
6. Overcomplete Hidden Layers.srt	5.8 KB
6. Overcomplete Hidden Layers.vtt	5.1 KB
7. Sparse AutoEncoders.mp4	60.2 MB
7. Sparse AutoEncoders.srt	9.0 KB
7. Sparse AutoEncoders.vtt	8.0 KB
8. Denoising AutoEncoders.mp4	25.3 MB
8. Denoising AutoEncoders.srt	3.7 KB
8. Denoising AutoEncoders.vtt	3.3 KB
9. Contractive AutoEncoders.mp4	21.5 MB
9. Contractive AutoEncoders.srt	3.7 KB
9. Contractive AutoEncoders.vtt	3.2 KB
10. Stacked AutoEncoders.mp4	17.2 MB
10. Stacked AutoEncoders.srt	2.5 KB
10. Stacked AutoEncoders.vtt	2.2 KB
11. Deep AutoEncoders.mp4	12.5 MB
11. Deep AutoEncoders.srt	2.8 KB
11. Deep AutoEncoders.vtt	2.5 KB
/5. Step 4 - Variational AutoEncoder/
1. Welcome to Step 4 - Variational AutoEncoder.html	0.4 KB
2. Introduction to the VAE.mp4	76.3 MB
2. Introduction to the VAE.srt	11.3 KB
2. Introduction to the VAE.vtt	9.9 KB
3. Variational AutoEncoders.mp4	27.6 MB
3. Variational AutoEncoders.srt	6.3 KB
3. Variational AutoEncoders.vtt	5.6 KB
4. Reparameterization Trick.mp4	27.7 MB
4. Reparameterization Trick.srt	6.7 KB
4. Reparameterization Trick.vtt	5.9 KB
/6. Step 5 - Implementing the CNN-VAE/
1. Welcome to Step 5 - Implementing the CNN-VAE.html	2.4 KB
2. Introduction to Step 5.mp4	61.7 MB
2. Introduction to Step 5.srt	11.0 KB
2. Introduction to Step 5.vtt	9.6 KB
3. Initializing all the parameters and variables of the CNN-VAE class.mp4	75.2 MB
3. Initializing all the parameters and variables of the CNN-VAE class.srt	17.4 KB
3. Initializing all the parameters and variables of the CNN-VAE class.vtt	15.2 KB
4. Building the Encoder part of the VAE.mp4	140.1 MB
4. Building the Encoder part of the VAE.srt	26.8 KB
4. Building the Encoder part of the VAE.vtt	23.3 KB
5. Building the V part of the VAE.mp4	84.2 MB
5. Building the V part of the VAE.srt	13.8 KB
5. Building the V part of the VAE.vtt	12.1 KB
6. Building the Decoder part of the VAE.mp4	97.4 MB
6. Building the Decoder part of the VAE.srt	13.4 KB
6. Building the Decoder part of the VAE.vtt	11.7 KB
7. Implementing the Training operations.mp4	196.1 MB
7. Implementing the Training operations.srt	24.0 KB
7. Implementing the Training operations.vtt	20.9 KB
8. Full Code Section.html	4.1 KB
9. The Keras Implementation.html	7.9 KB
/7. Step 6 - Recurrent Neural Network/
1. Welcome to Step 6 - Recurrent Neural Network.html	0.5 KB
2. Plan of Attack.mp4	11.0 MB
2. Plan of Attack.srt	3.5 KB
2. Plan of Attack.vtt	3.1 KB
3. What are Recurrent Neural Networks.mp4	127.0 MB
3. What are Recurrent Neural Networks.srt	24.4 KB
3. What are Recurrent Neural Networks.vtt	21.3 KB
4. The Vanishing Gradient Problem.mp4	116.6 MB
4. The Vanishing Gradient Problem.srt	21.3 KB
4. The Vanishing Gradient Problem.vtt	18.7 KB
5. LSTMs.mp4	143.2 MB
5. LSTMs.srt	28.9 KB
5. LSTMs.vtt	25.2 KB
6. LSTM Practical Intuition.mp4	196.5 MB
6. LSTM Practical Intuition.srt	21.5 KB
6. LSTM Practical Intuition.vtt	18.8 KB
7. LSTM Variations.mp4	21.1 MB
7. LSTM Variations.srt	5.0 KB
7. LSTM Variations.vtt	4.4 KB
/8. Step 7 - Mixture Density Network/
1. Welcome to Step 7 - Mixture Density Network.html	0.5 KB
2. Introduction to the MDN-RNN.mp4	87.4 MB
2. Introduction to the MDN-RNN.srt	13.0 KB
2. Introduction to the MDN-RNN.vtt	11.5 KB
3. Mixture Density Networks.mp4	68.5 MB
3. Mixture Density Networks.srt	13.9 KB
3. Mixture Density Networks.vtt	12.2 KB
4. VAE + MDN-RNN Visualization.mp4	47.5 MB
4. VAE + MDN-RNN Visualization.srt	7.7 KB
4. VAE + MDN-RNN Visualization.vtt	6.8 KB
/9. Step 8 - Implementing the MDN-RNN/
1. Welcome to Step 8 - Implementing the MDN-RNN.html	2.9 KB
2. Initializing all the parameters and variables of the MDN-RNN class.mp4	104.3 MB
2. Initializing all the parameters and variables of the MDN-RNN class.srt	18.4 KB
2. Initializing all the parameters and variables of the MDN-RNN class.vtt	16.2 KB
3. Building the RNN - Gathering the parameters.mp4	80.3 MB
3. Building the RNN - Gathering the parameters.srt	13.2 KB
3. Building the RNN - Gathering the parameters.vtt	11.6 KB
4. Building the RNN - Creating an LSTM cell with Dropout.mp4	133.3 MB
4. Building the RNN - Creating an LSTM cell with Dropout.srt	22.4 KB
4. Building the RNN - Creating an LSTM cell with Dropout.vtt	19.7 KB
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4	137.5 MB
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.srt	20.5 KB
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt	18.1 KB
6. Building the RNN - Getting the Deterministic Output of the RNN.mp4	131.6 MB
6. Building the RNN - Getting the Deterministic Output of the RNN.srt	16.8 KB
6. Building the RNN - Getting the Deterministic Output of the RNN.vtt	14.7 KB
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4	154.1 MB
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.srt	17.0 KB
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt	15.0 KB
8. Building the MDN - Getting the MDN parameters.mp4	114.8 MB
8. Building the MDN - Getting the MDN parameters.srt	14.9 KB
8. Building the MDN - Getting the MDN parameters.vtt	13.1 KB
9. Implementing the Training operations (Part 1).mp4	186.1 MB
9. Implementing the Training operations (Part 1).srt	20.9 KB
9. Implementing the Training operations (Part 1).vtt	18.2 KB
10. Implementing the Training operations (Part 2).mp4	170.8 MB
10. Implementing the Training operations (Part 2).srt	19.4 KB
10. Implementing the Training operations (Part 2).vtt	16.8 KB
11. Full Code Section.html	11.1 KB
12. The Keras Implementation.html	5.4 KB
/10. Step 9 - Reinforcement Learning/
1. Welcome to Step 9 - Reinforcement Learning.html	0.4 KB
2. What is Reinforcement Learning.mp4	71.9 MB
2. What is Reinforcement Learning.srt	18.6 KB
2. What is Reinforcement Learning.vtt	16.4 KB
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4	161.7 MB
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.srt	27.6 KB
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt	24.1 KB
4. Full Code Section.html	0.4 KB
/11. Step 10 - Deep NeuroEvolution/
1. Welcome to Step 10 - Deep NeuroEvolution.html	1.2 KB
2. Deep NeuroEvolution.mp4	114.1 MB
2. Deep NeuroEvolution.srt	15.4 KB
2. Deep NeuroEvolution.vtt	13.7 KB
3. Evolution Strategies.mp4	125.2 MB
3. Evolution Strategies.srt	13.3 KB
3. Evolution Strategies.vtt	11.7 KB
4. Genetic Algorithms.mp4	156.4 MB
4. Genetic Algorithms.srt	18.1 KB
4. Genetic Algorithms.vtt	15.8 KB
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4	151.1 MB
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).srt	17.6 KB
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt	15.5 KB
6. Parameter-Exploring Policy Gradients (PEPG).mp4	150.9 MB
6. Parameter-Exploring Policy Gradients (PEPG).srt	16.8 KB
6. Parameter-Exploring Policy Gradients (PEPG).vtt	14.9 KB
7. OpenAI Evolution Strategy.mp4	113.3 MB
7. OpenAI Evolution Strategy.srt	10.6 KB
7. OpenAI Evolution Strategy.vtt	9.4 KB
/13. Bonus Lectures/
1. YOUR SPECIAL BONUS.html	1.1 KB
Total files 230