种子简介

种子名称： Artificial Intelligence Masterclass
文件类型： 视频
文件数目： 68个文件
文件大小： 6 GB
收录时间： 2023-3-30 10:21
已经下载： 3次
资源热度： 54
最近下载： 2024-5-14 20:30

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Artificial Intelligence Masterclass.torrent

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4194.27MB

Artificial Intelligence Masterclass/1. Introduction/1. Updates on Udemy Reviews.mp446.04MB

Artificial Intelligence Masterclass/1. Introduction/2. Introduction + Course Structure + Demo.mp4156.76MB

Artificial Intelligence Masterclass/1. Introduction/3. Your Three Best Resources.mp4143.26MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp411.87MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/3. The Neuron.mp498.79MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/4. The Activation Function.mp445.36MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp481.95MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4112.12MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp460.63MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp467.3MB

Artificial Intelligence Masterclass/2. Step 1 - Artificial Neural Network/9. Backpropagation.mp443.14MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp415.82MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4107.98MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp497.94MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp453.45MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4140.18MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.mp47.95MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/9. Summary.mp430.33MB

Artificial Intelligence Masterclass/3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4117.97MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/2. Plan of Attack.mp411.85MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp494.62MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/4. A Note on Biases.mp48.62MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp450.31MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp428.07MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp457.46MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp424.11MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp420.56MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.mp416.45MB

Artificial Intelligence Masterclass/4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp411.96MB

Artificial Intelligence Masterclass/5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.mp4103.69MB

Artificial Intelligence Masterclass/5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp426.32MB

Artificial Intelligence Masterclass/5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp426.41MB

Artificial Intelligence Masterclass/6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.mp458.86MB

Artificial Intelligence Masterclass/6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.mp471.72MB

Artificial Intelligence Masterclass/6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4133.65MB

Artificial Intelligence Masterclass/6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.mp480.34MB

Artificial Intelligence Masterclass/6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.mp492.89MB

Artificial Intelligence Masterclass/6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4186.99MB

Artificial Intelligence Masterclass/7. Step 6 - Recurrent Neural Network/2. Plan of Attack.mp410.5MB

Artificial Intelligence Masterclass/7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.mp4121.09MB

Artificial Intelligence Masterclass/7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.mp4111.17MB

Artificial Intelligence Masterclass/7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4136.52MB

Artificial Intelligence Masterclass/7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4187.41MB

Artificial Intelligence Masterclass/7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp420.12MB

Artificial Intelligence Masterclass/8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.mp483.39MB

Artificial Intelligence Masterclass/8. Step 7 - Mixture Density Network/3. Mixture Density Networks.mp465.36MB

Artificial Intelligence Masterclass/8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.mp445.31MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.mp499.5MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.mp476.58MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4127.16MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4131.12MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4125.49MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4146.97MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.mp4109.45MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4177.45MB

Artificial Intelligence Masterclass/9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4162.89MB

Artificial Intelligence Masterclass/10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp468.6MB

Artificial Intelligence Masterclass/10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4154.25MB

Artificial Intelligence Masterclass/11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.mp4108.84MB

Artificial Intelligence Masterclass/11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.mp4119.43MB

Artificial Intelligence Masterclass/11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4149.11MB

Artificial Intelligence Masterclass/11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4144.07MB

Artificial Intelligence Masterclass/11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4143.91MB

Artificial Intelligence Masterclass/11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.mp4108.1MB

Artificial Intelligence Masterclass/12. The Final Run/1. The Whole Implementation.mp4191.62MB

Artificial Intelligence Masterclass/12. The Final Run/3. Installing the required packages.mp4158.71MB

Artificial Intelligence Masterclass/12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4125.1MB