BITCQ

UD447

Size: 6 GB
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Name Size
UD447/01 Introduction/001 Introduction Course Structure Demo.mp4 156.8 MB
UD447/01 Introduction/002 Updates on Udemy Reviews.mp4 20.4 MB
UD447/01 Introduction/003 BONUS Learning Paths.html 3 KB
UD447/01 Introduction/004 Your Three Best Resources.mp4 143.3 MB
UD447/01 Introduction/005 Download the Resources here.html 2 KB
UD447/01 Introduction/006 Meet your instructors.html 2 KB
UD447/02 Step 1 - Artificial Neural Network/007 Welcome to Step 1 - Artificial Neural Network.html 1 KB
UD447/02 Step 1 - Artificial Neural Network/008 Plan of Attack.mp4 11.9 MB
UD447/02 Step 1 - Artificial Neural Network/009 The Neuron.mp4 98.8 MB
UD447/02 Step 1 - Artificial Neural Network/010 The Activation Function.mp4 45.4 MB
UD447/02 Step 1 - Artificial Neural Network/011 How do Neural Networks work.mp4 81.9 MB
UD447/02 Step 1 - Artificial Neural Network/012 How do Neural Networks learn.mp4 112.1 MB
UD447/02 Step 1 - Artificial Neural Network/013 Gradient Descent.mp4 60.6 MB
UD447/02 Step 1 - Artificial Neural Network/014 Stochastic Gradient Descent.mp4 67.3 MB
UD447/02 Step 1 - Artificial Neural Network/015 Backpropagation.mp4 43.1 MB
UD447/03 Step 2 - Convolutional Neural Network/016 Welcome to Step 2 - Convolutional Neural Network.html 1 KB
UD447/03 Step 2 - Convolutional Neural Network/017 Plan of Attack.mp4 15.8 MB
UD447/03 Step 2 - Convolutional Neural Network/018 What are Convolutional Neural Networks.mp4 108 MB
UD447/03 Step 2 - Convolutional Neural Network/019 Step 1 - The Convolution Operation.mp4 97.9 MB
UD447/03 Step 2 - Convolutional Neural Network/020 Step 1 Bis - The ReLU Layer.mp4 53.4 MB
UD447/03 Step 2 - Convolutional Neural Network/021 Step 2 - Pooling.mp4 140.2 MB
UD447/03 Step 2 - Convolutional Neural Network/022 Step 3 - Flattening.mp4 7.9 MB
UD447/03 Step 2 - Convolutional Neural Network/023 Step 4 - Full Connection.mp4 194.3 MB
UD447/03 Step 2 - Convolutional Neural Network/024 Summary.mp4 30.3 MB
UD447/03 Step 2 - Convolutional Neural Network/025 Softmax Cross-Entropy.mp4 118 MB
UD447/04 Step 3 - AutoEncoder/026 Welcome to Step 3 - AutoEncoder.html 1 KB
UD447/04 Step 3 - AutoEncoder/027 Plan of Attack.mp4 11.8 MB
UD447/04 Step 3 - AutoEncoder/028 What are AutoEncoders.mp4 94.6 MB
UD447/04 Step 3 - AutoEncoder/029 A Note on Biases.mp4 8.6 MB
UD447/04 Step 3 - AutoEncoder/030 Training an AutoEncoder.mp4 50.3 MB
UD447/04 Step 3 - AutoEncoder/031 Overcomplete Hidden Layers.mp4 28.1 MB
UD447/04 Step 3 - AutoEncoder/032 Sparse AutoEncoders.mp4 57.5 MB
UD447/04 Step 3 - AutoEncoder/033 Denoising AutoEncoders.mp4 24.1 MB
UD447/04 Step 3 - AutoEncoder/034 Contractive AutoEncoders.mp4 20.5 MB
UD447/04 Step 3 - AutoEncoder/035 Stacked AutoEncoders.mp4 16.4 MB
UD447/04 Step 3 - AutoEncoder/036 Deep AutoEncoders.mp4 12 MB
UD447/05 Step 4 - Variational AutoEncoder/037 Welcome to Step 4 - Variational AutoEncoder.html 1 KB
UD447/05 Step 4 - Variational AutoEncoder/038 Introduction to the VAE.mp4 103.7 MB
UD447/05 Step 4 - Variational AutoEncoder/039 Variational AutoEncoders.mp4 26.3 MB
UD447/05 Step 4 - Variational AutoEncoder/040 Reparameterization Trick.mp4 26.4 MB
UD447/06 Step 5 - Implementing the CNN-VAE/041 Welcome to Step 5 - Implementing the CNN-VAE.html 3 KB
UD447/06 Step 5 - Implementing the CNN-VAE/042 Introduction to Step 5.mp4 58.8 MB
UD447/06 Step 5 - Implementing the CNN-VAE/043 Initializing all the parameters and variables of the CNN-VAE class.mp4 71.7 MB
UD447/06 Step 5 - Implementing the CNN-VAE/044 Building the Encoder part of the VAE.mp4 133.6 MB
UD447/06 Step 5 - Implementing the CNN-VAE/045 Building the V part of the VAE.mp4 80.3 MB
UD447/06 Step 5 - Implementing the CNN-VAE/046 Building the Decoder part of the VAE.mp4 92.9 MB
UD447/06 Step 5 - Implementing the CNN-VAE/047 Implementing the Training operations.mp4 187 MB
UD447/06 Step 5 - Implementing the CNN-VAE/048 Full Code Section.html 5 KB
UD447/06 Step 5 - Implementing the CNN-VAE/049 The Keras Implementation.html 9 KB
UD447/07 Step 6 - Recurrent Neural Network/050 Welcome to Step 6 - Recurrent Neural Network.html 1 KB
UD447/07 Step 6 - Recurrent Neural Network/051 Plan of Attack.mp4 10.5 MB
UD447/07 Step 6 - Recurrent Neural Network/052 What are Recurrent Neural Networks.mp4 121.1 MB
UD447/07 Step 6 - Recurrent Neural Network/053 The Vanishing Gradient Problem.mp4 111.2 MB
UD447/07 Step 6 - Recurrent Neural Network/054 LSTMs.mp4 136.5 MB
UD447/07 Step 6 - Recurrent Neural Network/055 LSTM Practical Intuition.mp4 187.4 MB
UD447/07 Step 6 - Recurrent Neural Network/056 LSTM Variations.mp4 20.1 MB
UD447/08 Step 7 - Mixture Density Network/057 Welcome to Step 7 - Mixture Density Network.html 1 KB
UD447/08 Step 7 - Mixture Density Network/058 Introduction to the MDN-RNN.mp4 83.4 MB
UD447/08 Step 7 - Mixture Density Network/059 Mixture Density Networks.mp4 65.4 MB
UD447/08 Step 7 - Mixture Density Network/060 VAE MDN-RNN Visualization.mp4 45.3 MB
UD447/09 Step 8 - Implementing the MDN-RNN/061 Welcome to Step 8 - Implementing the MDN-RNN.html 4 KB
UD447/09 Step 8 - Implementing the MDN-RNN/062 Initializing all the parameters and variables of the MDN-RNN class.mp4 99.5 MB
UD447/09 Step 8 - Implementing the MDN-RNN/063 Building the RNN - Gathering the parameters.mp4 76.6 MB
UD447/09 Step 8 - Implementing the MDN-RNN/064 Building the RNN - Creating an LSTM cell with Dropout.mp4 127.2 MB
UD447/09 Step 8 - Implementing the MDN-RNN/065 Building the RNN - Setting up the Input Target and Output of the RNN.mp4 131.1 MB
UD447/09 Step 8 - Implementing the MDN-RNN/066 Building the RNN - Getting the Deterministic Output of the RNN.mp4 125.5 MB
UD447/09 Step 8 - Implementing the MDN-RNN/067 Building the MDN - Getting the Input Hidden Layer and Output of the MDN.mp4 147 MB
UD447/09 Step 8 - Implementing the MDN-RNN/068 Building the MDN - Getting the MDN parameters.mp4 109.4 MB
UD447/09 Step 8 - Implementing the MDN-RNN/069 Implementing the Training operations (Part 1).mp4 177.4 MB
UD447/09 Step 8 - Implementing the MDN-RNN/070 Implementing the Training operations (Part 2).mp4 162.9 MB
UD447/09 Step 8 - Implementing the MDN-RNN/071 Full Code Section.html 12 KB
UD447/09 Step 8 - Implementing the MDN-RNN/072 The Keras Implementation.html 6 KB
UD447/10 Step 9 - Reinforcement Learning/073 Welcome to Step 9 - Reinforcement Learning.html 1 KB
UD447/10 Step 9 - Reinforcement Learning/074 What is Reinforcement Learning.mp4 68.6 MB
UD447/10 Step 9 - Reinforcement Learning/075 A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 154.3 MB
UD447/10 Step 9 - Reinforcement Learning/076 Full Code Section.html 1 KB
UD447/11 Step 10 - Deep NeuroEvolution/077 Welcome to Step 10 - Deep NeuroEvolution.html 2 KB
UD447/11 Step 10 - Deep NeuroEvolution/078 Deep NeuroEvolution.mp4 108.8 MB
UD447/11 Step 10 - Deep NeuroEvolution/079 Evolution Strategies.mp4 119.4 MB
UD447/11 Step 10 - Deep NeuroEvolution/080 Genetic Algorithms.mp4 149.1 MB
UD447/11 Step 10 - Deep NeuroEvolution/081 Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 144.1 MB
UD447/11 Step 10 - Deep NeuroEvolution/082 Parameter-Exploring Policy Gradients (PEPG).mp4 143.9 MB
UD447/11 Step 10 - Deep NeuroEvolution/083 OpenAI Evolution Strategy.mp4 108.1 MB
UD447/12 The Final Run/084 The Whole Implementation.mp4 191.6 MB
UD447/12 The Final Run/085 AI-Masterclass.zip 17.1 MB
UD447/12 The Final Run/085 Download the whole AI Masterclass folder here.html 2 KB
UD447/12 The Final Run/086 Installing the required packages.mp4 158.7 MB
UD447/12 The Final Run/087 The Final Race Human Intelligence vs. Artificial Intelligence.mp4 125.1 MB
UD447/12 The Final Run/088 THANK YOU bonus video.mp4 52.2 MB
UD447/13 Bonus Lectures/089 YOUR SPECIAL BONUS.html 2 KB
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Name Size Peers
UD447 Video 6 GB 1

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