DesireCourse Com Udemy Artificial Intelligence Masterclass | 63DDA960206C06F8E234022D2B8161D58E8602D1

DesireCourse Com Udemy Artificial Intelligence Masterclass

Name	[DesireCourse.Com] Udemy - Artificial Intelligence Masterclass	DOWNLOAD Copy Link
Total Size	4.9 GB
Total Files	127
Hash	63DDA960206C06F8E234022D2B8161D58E8602D1

/1. Introduction/
1. Introduction + Course Structure + Demo.mp4	164.4 MB
1. Introduction + Course Structure + Demo.vtt	19.6 KB
2. Your Three Best Resources.mp4	150.2 MB
2. Your Three Best Resources.vtt	12.1 KB
3. Download the Resources here.html	3.1 KB
4. Meet your instructors!.html	0.7 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.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.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	1.1 KB
/2. Step 1 - Artificial Neural Network/
1. Welcome to Step 1 - Artificial Neural Network.html	0.6 KB
2. Plan of Attack.mp4	12.4 MB
2. Plan of Attack.vtt	3.6 KB
3. The Neuron.mp4	103.6 MB
3. The Neuron.vtt	22.1 KB
4. The Activation Function.mp4	47.6 MB
4. The Activation Function.vtt	10.7 KB
5. How do Neural Networks work.mp4	85.9 MB
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.vtt	16.9 KB
7. Gradient Descent.mp4	63.6 MB
7. Gradient Descent.vtt	12.6 KB
8. Stochastic Gradient Descent.mp4	70.6 MB
8. Stochastic Gradient Descent.vtt	11.0 KB
9. Backpropagation.mp4	45.2 MB
9. Backpropagation.vtt	6.6 KB
/3. Step 2 - Convolutional Neural Network/
1. Welcome to Step 2 - Convolutional Neural Network.html	0.4 KB
10. Softmax & Cross-Entropy.mp4	123.7 MB
10. Softmax & Cross-Entropy.vtt	22.7 KB
2. Plan of Attack.mp4	16.6 MB
2. Plan of Attack.vtt	4.8 KB
3. What are Convolutional Neural Networks.mp4	113.2 MB
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.vtt	20.9 KB
5. Step 1 Bis - The ReLU Layer.mp4	56.0 MB
5. Step 1 Bis - The ReLU Layer.vtt	8.4 KB
6. Step 2 - Pooling.mp4	147.0 MB
6. Step 2 - Pooling.vtt	18.8 KB
7. Step 3 - Flattening.mp4	8.3 MB
7. Step 3 - Flattening.vtt	2.3 KB
8. Step 4 - Full Connection.mp4	203.7 MB
8. Step 4 - Full Connection.vtt	25.6 KB
9. Summary.mp4	31.8 MB
9. Summary.vtt	5.5 KB
/4. Step 3 - AutoEncoder/
1. Welcome to Step 3 - AutoEncoder.html	0.4 KB
10. Stacked AutoEncoders.mp4	17.2 MB
10. Stacked AutoEncoders.vtt	2.2 KB
11. Deep AutoEncoders.mp4	12.5 MB
11. Deep AutoEncoders.vtt	2.5 KB
2. Plan of Attack.mp4	12.4 MB
2. Plan of Attack.vtt	2.9 KB
3. What are AutoEncoders.mp4	99.2 MB
3. What are AutoEncoders.vtt	14.7 KB
4. A Note on Biases.mp4	9.0 MB
4. A Note on Biases.vtt	1.8 KB
5. Training an AutoEncoder.mp4	52.7 MB
5. Training an AutoEncoder.vtt	8.6 KB
6. Overcomplete Hidden Layers.mp4	29.4 MB
6. Overcomplete Hidden Layers.vtt	5.1 KB
7. Sparse AutoEncoders.mp4	60.2 MB
7. Sparse AutoEncoders.vtt	8.0 KB
8. Denoising AutoEncoders.mp4	25.3 MB
8. Denoising AutoEncoders.vtt	3.3 KB
9. Contractive AutoEncoders.mp4	21.6 MB
9. Contractive AutoEncoders.vtt	3.2 KB
/5. Step 4 - Variational AutoEncoder/
1. Welcome to Step 4 - Variational AutoEncoder.html	0.4 KB
2. Introduction to the VAE.mp4	108.7 MB
2. Introduction to the VAE.vtt	9.9 KB
3. Variational AutoEncoders.mp4	27.6 MB
3. Variational AutoEncoders.vtt	5.6 KB
4. Reparameterization Trick.mp4	27.7 MB
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.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.vtt	15.2 KB
4. Building the Encoder part of the VAE.mp4	140.1 MB
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.vtt	12.1 KB
6. Building the Decoder part of the VAE.mp4	97.4 MB
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.vtt	20.9 KB
8. Full Code Section.html	4.1 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.vtt	3.1 KB
3. What are Recurrent Neural Networks.mp4	127.0 MB
3. What are Recurrent Neural Networks.vtt	21.3 KB
4. The Vanishing Gradient Problem.mp4	116.6 MB
4. The Vanishing Gradient Problem.vtt	18.7 KB
5. LSTMs.mp4	143.2 MB
5. LSTMs.vtt	25.2 KB
6. LSTM Practical Intuition.mp4	196.5 MB
6. LSTM Practical Intuition.vtt	18.8 KB
7. LSTM Variations.mp4	21.1 MB
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
/9. Step 8 - Implementing the MDN-RNN/
1. Welcome to Step 8 - Implementing the MDN-RNN.html	2.9 KB
10. Implementing the Training operations (Part 2).mp4	170.8 MB
10. Implementing the Training operations (Part 2).vtt	16.8 KB
11. Full Code Section.html	11.1 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.vtt	16.2 KB
3. Building the RNN - Gathering the parameters.mp4	80.3 MB
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.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.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.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.vtt	15.0 KB
8. Building the MDN - Getting the MDN parameters.mp4	114.8 MB
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).vtt	18.2 KB
/
[DesireCourse.Com].txt	0.8 KB
[DesireCourse.Com].url	0.1 KB
Total files 127