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Please note that this page does not hosts or makes available any of the listed filenames. You
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| $10 ChatGPT for 1 Year & More.txt |
252B |
| 1. Average grayscale.mp4 |
10.88MB |
| 1. Average grayscale.srt |
5.04KB |
| 1. Big data.mp4 |
12.70MB |
| 1. Big data.srt |
7.63KB |
| 1. Computer vision under the hood.mp4 |
7.37MB |
| 1. Computer vision under the hood.srt |
2.10KB |
| 1. Continuing your PyTorch learning process.mp4 |
1.73MB |
| 1. Continuing your PyTorch learning process.srt |
1.86KB |
| 1. Convolutional neural networks (CNN).mp4 |
15.58MB |
| 1. Convolutional neural networks (CNN).srt |
12.21KB |
| 1. Convolution filters.mp4 |
8.48MB |
| 1. Convolution filters.srt |
6.30KB |
| 1. Deep reinforcement learning.mp4 |
4.29MB |
| 1. Deep reinforcement learning.srt |
2.20KB |
| 1. Define general intelligence.mp4 |
11.92MB |
| 1. Define general intelligence.srt |
8.39KB |
| 1. Defining linear algebra.mp4 |
11.17MB |
| 1. Defining linear algebra.srt |
3.46KB |
| 1. Dot product of vectors.mp4 |
12.40MB |
| 1. Dot product of vectors.srt |
4.44KB |
| 1. Exercise problem statement.mp4 |
5.84MB |
| 1. Exercise problem statement.srt |
3.85KB |
| 1. Explore the capabilities of PyTorch.mp4 |
2.54MB |
| 1. Explore the capabilities of PyTorch.srt |
1.36KB |
| 1. Extending your deep learning education.mp4 |
1.54MB |
| 1. Extending your deep learning education.srt |
1.04KB |
| 1. Generative AI.mp4 |
11.67MB |
| 1. Generative AI.srt |
5.75KB |
| 1. Getting started with deep learning.mp4 |
3.96MB |
| 1. Getting started with deep learning.srt |
1.50KB |
| 1. Image cuts.mp4 |
13.72MB |
| 1. Image cuts.srt |
5.79KB |
| 1. Image downscaling methods.mp4 |
4.20MB |
| 1. Image downscaling methods.srt |
3.25KB |
| 1. Image representation.mp4 |
12.07MB |
| 1. Image representation.srt |
5.79KB |
| 1. Installing Anaconda and OpenCV.mp4 |
1.95MB |
| 1. Installing Anaconda and OpenCV.srt |
1.67KB |
| 1. Introduction.mp4 |
8.62MB |
| 1. Introduction.srt |
1.52KB |
| 1. Introduction to eigenvalues and eigenvectors.mp4 |
10.39MB |
| 1. Introduction to eigenvalues and eigenvectors.srt |
3.98KB |
| 1. Introduction to vectors.mp4 |
29.95MB |
| 1. Introduction to vectors.srt |
6.86KB |
| 1. Machine learning.mp4 |
13.77MB |
| 1. Machine learning.srt |
8.28KB |
| 1. Machine learning and neural networks.mp4 |
8.82MB |
| 1. Machine learning and neural networks.srt |
6.02KB |
| 1. Match patterns.mp4 |
15.58MB |
| 1. Match patterns.srt |
8.12KB |
| 1. Matrices changing basis.mp4 |
7.39MB |
| 1. Matrices changing basis.srt |
3.25KB |
| 1. Matrices introduction.mp4 |
8.38MB |
| 1. Matrices introduction.srt |
3.85KB |
| 1. Monte Carlo method.mp4 |
12.18MB |
| 1. Monte Carlo method.srt |
4.75KB |
| 1. Multilayer perceptron.mp4 |
6.74MB |
| 1. Multilayer perceptron.srt |
5.85KB |
| 1. Neural networks 101 Your path to AI brilliance.mp4 |
4.40MB |
| 1. Neural networks 101 Your path to AI brilliance.srt |
1.26KB |
| 1. Next steps.mp4 |
1.82MB |
| 1. Next steps.mp4 |
2.51MB |
| 1. Next steps.mp4 |
2.60MB |
| 1. Next steps.mp4 |
4.25MB |
| 1. Next steps.srt |
1.15KB |
| 1. Next steps.srt |
1.18KB |
| 1. Next steps.srt |
1.77KB |
| 1. Next steps.srt |
2.60KB |
| 1. Overfitting and underfitting Two common ANN problems.mp4 |
6.89MB |
| 1. Overfitting and underfitting Two common ANN problems.srt |
7.36KB |
| 1. Pitfalls.mp4 |
12.31MB |
| 1. Pitfalls.srt |
8.22KB |
| 1. PyTorch overview.mp4 |
7.73MB |
| 1. PyTorch overview.srt |
5.76KB |
| 1. Reinforcement learning in a nutshell.mp4 |
3.67MB |
| 1. Reinforcement learning in a nutshell.srt |
1.47KB |
| 1. Robotics.mp4 |
14.21MB |
| 1. Robotics.srt |
8.08KB |
| 1. Setup and initialization.mp4 |
5.75MB |
| 1. Setup and initialization.srt |
4.83KB |
| 1. Solving linear equations using Gaussian elimination.mp4 |
17.05MB |
| 1. Solving linear equations using Gaussian elimination.srt |
6.07KB |
| 1. Spam classification problem.mp4 |
3.72MB |
| 1. Spam classification problem.srt |
2.84KB |
| 1. Terms in reinforcement learning.mp4 |
10.22MB |
| 1. Terms in reinforcement learning.srt |
3.68KB |
| 1. The input layer.mp4 |
5.88MB |
| 1. The input layer.srt |
4.62KB |
| 1. The Iris classification problem.mp4 |
4.71MB |
| 1. The Iris classification problem.srt |
2.20KB |
| 1. The Keras Sequential model.mp4 |
6.52MB |
| 1. The Keras Sequential model.srt |
5.90KB |
| 1. The setting.mp4 |
3.22MB |
| 1. The setting.mp4 |
5.19MB |
| 1. The setting.srt |
1.82KB |
| 1. The setting.srt |
2.10KB |
| 1. Torchaudio introduction.mp4 |
6.57MB |
| 1. Torchaudio introduction.srt |
4.81KB |
| 1. Torchtext introduction.mp4 |
7.87MB |
| 1. Torchtext introduction.srt |
5.01KB |
| 1. Torchvision introduction.mp4 |
13.69MB |
| 1. Torchvision introduction.srt |
12.03KB |
| 1. Understand PyTorch tensors.mp4 |
7.04MB |
| 1. Understand PyTorch tensors.srt |
4.99KB |
| 1. Welcome.mp4 |
7.06MB |
| 1. Welcome.srt |
3.31KB |
| 1. What is deep learning.mp4 |
2.65MB |
| 1. What is deep learning.srt |
2.74KB |
| 1. Why modify objects.mp4 |
13.84MB |
| 1. Why modify objects.srt |
7.43KB |
| 1. Your reinforcement learning journey.mp4 |
6.16MB |
| 1. Your reinforcement learning journey.srt |
2.80KB |
| 10. Using available open-source models.mp4 |
4.31MB |
| 10. Using available open-source models.srt |
3.66KB |
| 2. A basic RL problem.mp4 |
15.11MB |
| 2. A basic RL problem.srt |
6.68KB |
| 2. Applications of linear algebra in ML.mp4 |
22.84MB |
| 2. Applications of linear algebra in ML.srt |
7.65KB |
| 2. Artificial neural networks.mp4 |
13.08MB |
| 2. Artificial neural networks.srt |
7.86KB |
| 2. Average filters.mp4 |
11.36MB |
| 2. Average filters.srt |
4.18KB |
| 2. Biological neural networks.mp4 |
5.04MB |
| 2. Biological neural networks.srt |
3.47KB |
| 2. Calculating eigenvalues and eigenvectors.mp4 |
11.50MB |
| 2. Calculating eigenvalues and eigenvectors.srt |
4.38KB |
| 2. Color encoding.mp4 |
7.92MB |
| 2. Color encoding.srt |
4.23KB |
| 2. Creating text representations.mp4 |
7.14MB |
| 2. Creating text representations.srt |
3.00KB |
| 2. Data science.mp4 |
13.06MB |
| 2. Data science.srt |
8.02KB |
| 2. Data vs. reasoning.mp4 |
11.39MB |
| 2. Data vs. reasoning.srt |
8.06KB |
| 2. Downscaling example.mp4 |
11.39MB |
| 2. Downscaling example.srt |
4.63KB |
| 2. Erosion and dilation.mp4 |
11.42MB |
| 2. Erosion and dilation.srt |
5.30KB |
| 2. Exploration and exploitation.mp4 |
7.71MB |
| 2. Exploration and exploitation.srt |
3.51KB |
| 2. Forward propagation.mp4 |
2.81MB |
| 2. Forward propagation.srt |
2.13KB |
| 2. Foundation models.mp4 |
12.60MB |
| 2. Foundation models.srt |
5.54KB |
| 2. Gaussian elimination and finding the inverse matrix.mp4 |
9.73MB |
| 2. Gaussian elimination and finding the inverse matrix.srt |
4.40KB |
| 2. Hidden layers.mp4 |
4.63MB |
| 2. Hidden layers.srt |
2.82KB |
| 2. Hyperparameters and neural networks.mp4 |
5.98MB |
| 2. Hyperparameters and neural networks.srt |
4.46KB |
| 2. Input preprocessing.mp4 |
9.40MB |
| 2. Input preprocessing.srt |
4.18KB |
| 2. Layers Input, hidden, and output.mp4 |
4.54MB |
| 2. Layers Input, hidden, and output.srt |
4.00KB |
| 2. Linear regression.mp4 |
5.56MB |
| 2. Linear regression.srt |
4.15KB |
| 2. Multi-agent reinforcement learning.mp4 |
1.77MB |
| 2. Multi-agent reinforcement learning.srt |
1.68KB |
| 2. Natural language processing.mp4 |
14.47MB |
| 2. Natural language processing.srt |
8.17KB |
| 2. Preprocessing RCA data.mp4 |
4.02MB |
| 2. Preprocessing RCA data.srt |
1.50KB |
| 2. Prerequisites for the course.mp4 |
4.86MB |
| 2. Prerequisites for the course.srt |
4.14KB |
| 2. PyTorch environment setup.mp4 |
13.03MB |
| 2. PyTorch environment setup.srt |
5.48KB |
| 2. Recurrent neural networks (RNN).mp4 |
12.80MB |
| 2. Recurrent neural networks (RNN).srt |
9.82KB |
| 2. SARSA.mp4 |
15.19MB |
| 2. SARSA.srt |
6.81KB |
| 2. Scalar and vector projection.mp4 |
13.76MB |
| 2. Scalar and vector projection.srt |
4.85KB |
| 2. Stitching two images together.mp4 |
44.15MB |
| 2. Stitching two images together.srt |
9.87KB |
| 2. Temporal difference methods.mp4 |
2.31MB |
| 2. Temporal difference methods.srt |
1.80KB |
| 2. Testing your environment.mp4 |
10.56MB |
| 2. Testing your environment.srt |
5.49KB |
| 2. The history of AI.mp4 |
10.40MB |
| 2. The history of AI.srt |
7.87KB |
| 2. Torchaudio for audio understanding.mp4 |
13.23MB |
| 2. Torchaudio for audio understanding.srt |
5.36KB |
| 2. Torchtext for translation.mp4 |
14.33MB |
| 2. Torchtext for translation.srt |
5.48KB |
| 2. Torchvision for video and image understanding.mp4 |
4.46MB |
| 2. Torchvision for video and image understanding.srt |
1.90KB |
| 2. Transforming to the new basis.mp4 |
14.42MB |
| 2. Transforming to the new basis.srt |
3.63KB |
| 2. Types of matrices.mp4 |
9.62MB |
| 2. Types of matrices.srt |
4.26KB |
| 2. Understand PyTorch basic operations.mp4 |
7.49MB |
| 2. Understand PyTorch basic operations.srt |
3.81KB |
| 2. Use case and determine evaluation metric.mp4 |
9.85MB |
| 2. Use case and determine evaluation metric.srt |
7.23KB |
| 2. Vector arithmetic.mp4 |
12.40MB |
| 2. Vector arithmetic.srt |
5.52KB |
| 2. Weighted grayscale.mp4 |
6.22MB |
| 2. Weighted grayscale.srt |
1.92KB |
| 2. What you should know.mp4 |
1.60MB |
| 2. What you should know.mp4 |
2.73MB |
| 2. What you should know.mp4 |
5.35MB |
| 2. What you should know.srt |
908B |
| 2. What you should know.srt |
1.63KB |
| 2. What you should know.srt |
2.13KB |
| 3. An analogy for deep learning.mp4 |
4.49MB |
| 3. An analogy for deep learning.srt |
4.44KB |
| 3. Artificial neural networks.mp4 |
2.86MB |
| 3. Artificial neural networks.srt |
2.48KB |
| 3. Building a spam model.mp4 |
5.24MB |
| 3. Building a spam model.srt |
1.98KB |
| 3. Building the RCA model.mp4 |
3.62MB |
| 3. Building the RCA model.srt |
1.21KB |
| 3. Changing basis of vectors.mp4 |
17.13MB |
| 3. Changing basis of vectors.srt |
6.43KB |
| 3. Changing to the eigenbasis.mp4 |
13.17MB |
| 3. Changing to the eigenbasis.srt |
5.67KB |
| 3. Converting grayscale to black and white.mp4 |
10.45MB |
| 3. Converting grayscale to black and white.srt |
4.11KB |
| 3. Coordinate system.mp4 |
9.79MB |
| 3. Coordinate system.srt |
4.20KB |
| 3. Creating a deep learning model.mp4 |
8.10MB |
| 3. Creating a deep learning model.srt |
4.00KB |
| 3. Cuts in panoramic photography.mp4 |
12.47MB |
| 3. Cuts in panoramic photography.srt |
4.75KB |
| 3. Data checks and data preparation.mp4 |
4.71MB |
| 3. Data checks and data preparation.srt |
3.71KB |
| 3. How do you improve model performance.mp4 |
6.24MB |
| 3. How do you improve model performance.srt |
5.70KB |
| 3. How to use the challenge exercise files.mp4 |
3.72MB |
| 3. How to use the challenge exercise files.srt |
2.08KB |
| 3. Image file management.mp4 |
19.14MB |
| 3. Image file management.srt |
8.38KB |
| 3. Image upscaling methods.mp4 |
3.49MB |
| 3. Image upscaling methods.srt |
2.76KB |
| 3. Inverse and determinant.mp4 |
8.39MB |
| 3. Inverse and determinant.srt |
3.94KB |
| 3. Inverse reinforcement learning.mp4 |
2.22MB |
| 3. Inverse reinforcement learning.srt |
1.76KB |
| 3. Markov decision process.mp4 |
17.38MB |
| 3. Markov decision process.srt |
6.97KB |
| 3. Measuring accuracy and error.mp4 |
4.73MB |
| 3. Measuring accuracy and error.srt |
3.76KB |
| 3. Median filters.mp4 |
25.41MB |
| 3. Median filters.srt |
6.87KB |
| 3. Monte Carlo prediction.mp4 |
2.42MB |
| 3. Monte Carlo prediction.srt |
2.67KB |
| 3. Open and close.mp4 |
7.14MB |
| 3. Open and close.srt |
2.77KB |
| 3. Orthogonal matrix.mp4 |
6.55MB |
| 3. Orthogonal matrix.srt |
3.22KB |
| 3. Other RL algorithms.mp4 |
3.15MB |
| 3. Other RL algorithms.srt |
916B |
| 3. Perceptrons.mp4 |
14.13MB |
| 3. Perceptrons.srt |
8.49KB |
| 3. PyTorch use case description.mp4 |
3.58MB |
| 3. PyTorch use case description.srt |
3.59KB |
| 3. SARSAMAX (Q-learning).mp4 |
9.14MB |
| 3. SARSAMAX (Q-learning).srt |
3.23KB |
| 3. Self-supervised learning.mp4 |
11.42MB |
| 3. Self-supervised learning.srt |
5.21KB |
| 3. Setting up the environment.mp4 |
5.99MB |
| 3. Setting up the environment.srt |
3.63KB |
| 3. Strong vs. weak AI.mp4 |
12.99MB |
| 3. Strong vs. weak AI.srt |
8.26KB |
| 3. The Internet of Things.mp4 |
11.72MB |
| 3. The Internet of Things.srt |
6.93KB |
| 3. Transfer and activation functions.mp4 |
5.72MB |
| 3. Transfer and activation functions.srt |
4.96KB |
| 3. Transformer architecture.mp4 |
7.79MB |
| 3. Transformer architecture.srt |
5.58KB |
| 3. Types of matrix transformation.mp4 |
8.87MB |
| 3. Types of matrix transformation.srt |
4.33KB |
| 3. Understand PyTorch NumPy Bridge.mp4 |
8.10MB |
| 3. Understand PyTorch NumPy Bridge.srt |
4.84KB |
| 3. Unsupervised learning.mp4 |
13.63MB |
| 3. Unsupervised learning.srt |
8.09KB |
| 3. Using the exercise files.mp4 |
1.78MB |
| 3. Using the exercise files.srt |
1.41KB |
| 3. Weights and biases.mp4 |
5.61MB |
| 3. Weights and biases.srt |
4.24KB |
| 4. A basic RL solution.mp4 |
8.59MB |
| 4. A basic RL solution.srt |
3.54KB |
| 4. Activation functions.mp4 |
3.91MB |
| 4. Activation functions.srt |
3.53KB |
| 4. Adaptive thresholding.mp4 |
20.95MB |
| 4. Adaptive thresholding.srt |
7.17KB |
| 4. Backpropagation.mp4 |
12.96MB |
| 4. Back propagation.mp4 |
4.79MB |
| 4. Backpropagation.srt |
7.58KB |
| 4. Back propagation.srt |
3.85KB |
| 4. Basis, linear independence, and span.mp4 |
12.04MB |
| 4. Basis, linear independence, and span.srt |
3.98KB |
| 4. Challenge Help a robot.mp4 |
9.03MB |
| 4. Challenge Help a robot.srt |
3.46KB |
| 4. Challenge Stitch two pictures together.mp4 |
3.61MB |
| 4. Challenge Stitch two pictures together.srt |
1.74KB |
| 4. Composition or combination of matrix transformations.mp4 |
11.76MB |
| 4. Composition or combination of matrix transformations.srt |
4.27KB |
| 4. Data preprocessing.mp4 |
3.67MB |
| 4. Data preprocessing.srt |
2.80KB |
| 4. Expected SARSA.mp4 |
7.06MB |
| 4. Expected SARSA.srt |
2.53KB |
| 4. First visit and every visit MC prediction.mp4 |
6.82MB |
| 4. First visit and every visit MC prediction.srt |
2.71KB |
| 4. Gaussian filters.mp4 |
8.20MB |
| 4. Gaussian filters.srt |
2.89KB |
| 4. Google PageRank algorithm.mp4 |
12.42MB |
| 4. Google PageRank algorithm.srt |
5.99KB |
| 4. Gram–Schmidt process.mp4 |
11.08MB |
| 4. Gram–Schmidt process.srt |
3.96KB |
| 4. How neural networks learn.mp4 |
8.91MB |
| 4. How neural networks learn.srt |
6.84KB |
| 4. Plan AI.mp4 |
13.88MB |
| 4. Plan AI.srt |
8.39KB |
| 4. Predicting root causes with deep learning.mp4 |
2.68MB |
| 4. Predicting root causes with deep learning.srt |
1.47KB |
| 4. Predictions for text.mp4 |
4.10MB |
| 4. Predictions for text.srt |
2.23KB |
| 4. PyTorch data exploration.mp4 |
12.13MB |
| 4. PyTorch data exploration.srt |
5.45KB |
| 4. Regularization techniques to improve overfitting models.mp4 |
11.83MB |
| 4. Regularization techniques to improve overfitting models.srt |
11.31KB |
| 4. Resolution.mp4 |
8.77MB |
| 4. Resolution.srt |
4.49KB |
| 4. Single-layer perceptron.mp4 |
6.41MB |
| 4. Single-layer perceptron.srt |
5.28KB |
| 4. The perceptron.mp4 |
2.60MB |
| 4. The perceptron.srt |
2.60KB |
| 4. Training and evaluation.mp4 |
9.43MB |
| 4. Training and evaluation.srt |
4.29KB |
| 4. Understand PyTorch autograd.mp4 |
5.42MB |
| 4. Understand PyTorch autograd.srt |
4.12KB |
| 4. Upscaling example.mp4 |
11.66MB |
| 4. Upscaling example.srt |
4.96KB |
| 5. Advanced PyTorch autograd.mp4 |
5.01MB |
| 5. Advanced PyTorch autograd.srt |
3.10KB |
| 5. Artificial neural networks.mp4 |
5.78MB |
| 5. Artificial neural networks.srt |
4.28KB |
| 5. Challenge Manually tune hyperparameters.mp4 |
1.12MB |
| 5. Challenge Manually tune hyperparameters.srt |
1.08KB |
| 5. Challenge Removing color.mp4 |
2.89MB |
| 5. Challenge Removing color.srt |
1.37KB |
| 5. Challenge Resize a picture.mp4 |
2.94MB |
| 5. Challenge Resize a picture.srt |
1.36KB |
| 5. Edge detection filters.mp4 |
14.19MB |
| 5. Edge detection filters.srt |
5.98KB |
| 5. Gradient descent.mp4 |
3.03MB |
| 5. Gradient descent.srt |
2.38KB |
| 5. Monte Carlo control.mp4 |
1.41MB |
| 5. Monte Carlo control.srt |
1.40KB |
| 5. Regression.mp4 |
13.54MB |
| 5. Regression.srt |
8.93KB |
| 5. Rotations and flips.mp4 |
6.14MB |
| 5. Rotations and flips.srt |
2.87KB |
| 5. Saving and loading models.mp4 |
3.05MB |
| 5. Saving and loading models.srt |
1.94KB |
| 5. Solution Help a robot.mp4 |
7.91MB |
| 5. Solution Help a robot.srt |
1.98KB |
| 5. Solution Stitch two pictures together.mp4 |
6.43MB |
| 5. Solution Stitch two pictures together.srt |
1.88KB |
| 5. The output layer.mp4 |
3.40MB |
| 5. The output layer.srt |
2.75KB |
| 5. Train the neural network using Keras.mp4 |
10.33MB |
| 5. Train the neural network using Keras.srt |
8.37KB |
| 6. Additional modifications.mp4 |
4.54MB |
| 6. Additional modifications.srt |
4.17KB |
| 6. Batches and epochs.mp4 |
4.80MB |
| 6. Batches and epochs.srt |
3.90KB |
| 6. Challenge Build a neural network.mp4 |
1.27MB |
| 6. Challenge Build a neural network.srt |
1.18KB |
| 6. Challenge Convolution filters.mp4 |
4.76MB |
| 6. Challenge Convolution filters.srt |
1.94KB |
| 6. Challenge Manipulate some pictures.mp4 |
7.25MB |
| 6. Challenge Manipulate some pictures.srt |
3.66KB |
| 6. Predictions with deep learning models.mp4 |
4.59MB |
| 6. Predictions with deep learning models.srt |
2.41KB |
| 6. Solution Manually tune hyperparameters.mp4 |
6.08MB |
| 6. Solution Manually tune hyperparameters.srt |
2.47KB |
| 6. Solution Removing color.mp4 |
4.15MB |
| 6. Solution Removing color.srt |
1.46KB |
| 6. Solution Resize a picture.mp4 |
6.10MB |
| 6. Solution Resize a picture.srt |
1.78KB |
| 6. Training an ANN.mp4 |
5.20MB |
| 6. Training an ANN.srt |
4.05KB |
| 7. Solution Build a neural network.mp4 |
10.76MB |
| 7. Solution Build a neural network.srt |
5.48KB |
| 7. Solution Convolution filters.mp4 |
6.22MB |
| 7. Solution Convolution filters.srt |
1.71KB |
| 7. Solution Manipulate some pictures.mp4 |
9.54MB |
| 7. Solution Manipulate some pictures.srt |
3.72KB |
| 7. Validation and testing.mp4 |
3.22MB |
| 7. Validation and testing.srt |
2.60KB |
| 8. An ANN model.mp4 |
3.51MB |
| 8. An ANN model.srt |
3.00KB |
| 9. Reusing existing network architectures.mp4 |
4.22MB |
| 9. Reusing existing network architectures.srt |
3.94KB |
| description.html |
1.04KB |
| description.html |
1.06KB |
| description.html |
1.10KB |
| description.html |
1.13KB |
| description.html |
1.20KB |
| description.html |
1.22KB |
| description.html |
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| Ex_Files_Hands_On_PyTorch_ML.zip |
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| Ex_Files_ML_Foundations_Linear_Algebra.zip |
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