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Pluralsight Path Building Deep Learning Solutions with PyTorch (2020)

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Title: Pluralsight Path Building Deep Learning Solutions with PyTorch 2020Group: NOGRPSource: Pluralsight
Info Hash
514EE71EA84DFBA72415B2EE4F1C1542BEEFE30B
Source
Unverified
Total Size
2.71 GB
Total Files
100
Seeders
3
Leechers
0
Health
3.00
Score
6
Type
Bookware

File List

FileSize
scr.png184.09 KB
~i.txt663 B
A1. Foundations of PyTorch (Janani Ravi, 2019)/exercise.7z1.32 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/playlist.m3u3.59 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/~i.txt2.34 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.7 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt2.87 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/01. Version Check.mp4550.56 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/01. Version Check.vtt7 B
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/02. Module Overview.mp41.3 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/02. Module Overview.vtt1.44 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/03. Prerequisites and Course Outline.mp42.8 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/03. Prerequisites and Course Outline.vtt3.06 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/04. Representation Learning Using Neural Networks.mp410.35 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/04. Representation Learning Using Neural Networks.vtt9.86 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/05. Neuron as a Mathematical Function.mp49.26 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/05. Neuron as a Mathematical Function.vtt8.11 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/06. Activation Functions.mp47.32 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/06. Activation Functions.vtt7.39 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/07. Introducing PyTorch.mp45.73 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/07. Introducing PyTorch.vtt6.55 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/08. TensorFlow and PyTorch.mp46.75 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/08. TensorFlow and PyTorch.vtt6.71 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/09. Demo - PyTorch Install and Setup.mp49.51 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/09. Demo - PyTorch Install and Setup.vtt7.82 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/10. Summary.mp41.4 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/2. Getting Started with PyTorch for Machine Learning/10. Summary.vtt1.52 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/01. Module Overview.mp43.21 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/01. Module Overview.vtt2.94 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/02. Demo - Creating and Initializing Tensors.mp413.19 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/02. Demo - Creating and Initializing Tensors.vtt12.3 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/03. Demo - Simple Operations on Tensors.mp410.82 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/03. Demo - Simple Operations on Tensors.vtt9.9 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/04. Demo - Elementwise and Matrix Operations on Tensors.mp47.69 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/04. Demo - Elementwise and Matrix Operations on Tensors.vtt7.23 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/05. Demo - Converting between PyTorch Tensors and NumPy Arrays.mp48.39 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/05. Demo - Converting between PyTorch Tensors and NumPy Arrays.vtt7.3 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/06. PyTorch Support for CUDA Devices.mp49.47 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/06. PyTorch Support for CUDA Devices.vtt8.57 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/07. Demo - Setting up a Deep Learning VM to Work with GPUs.mp415.47 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/07. Demo - Setting up a Deep Learning VM to Work with GPUs.vtt9.07 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/08. Demo - Creating Tensors on CUDA-enabled Devices.mp46.93 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/08. Demo - Creating Tensors on CUDA-enabled Devices.vtt6.26 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/09. Demo - Working with the Device Context Manager.mp49.23 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/09. Demo - Working with the Device Context Manager.vtt7.17 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/10. Summary.mp41.54 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/3. Working PyTorch Tensors/10. Summary.vtt1.72 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/01. Module Overview.mp41.54 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/01. Module Overview.vtt1.87 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/02. Gradient Descent Optimization.mp46.32 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/02. Gradient Descent Optimization.vtt6.42 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/03. Forward and Backward Passes.mp44.92 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/03. Forward and Backward Passes.vtt4.64 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/04. Calculating Gradients.mp47.31 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/04. Calculating Gradients.vtt7.41 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/05. Using Gradients to Update Model Parameters.mp45.9 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/05. Using Gradients to Update Model Parameters.vtt5.74 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/06. Two Passes in Reverse Mode Automatic Differentiation.mp45.99 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/06. Two Passes in Reverse Mode Automatic Differentiation.vtt6.35 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/07. Demo - Introducing Autograd.mp410.08 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/07. Demo - Introducing Autograd.vtt9.37 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/08. Demo - Working with Gradients.mp47.61 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/08. Demo - Working with Gradients.vtt7.25 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/09. Demo - Variables and Tensors.mp43.64 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/09. Demo - Variables and Tensors.vtt3.54 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/10. Demo - Training a Linear Model Using Autograd.mp415.4 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/10. Demo - Training a Linear Model Using Autograd.vtt13.2 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/11. Summary.mp42.07 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/4. Working with Gradients Using the Autograd Library/11. Summary.vtt2.56 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/01. Module Overview.mp4883.38 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/01. Module Overview.vtt964 B
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/02. Static vs. Dynamic Computation Graphs.mp411.53 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/02. Static vs. Dynamic Computation Graphs.vtt10.92 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/03. Dynamic Computation Graphs in PyTorch.mp41.83 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/03. Dynamic Computation Graphs in PyTorch.vtt1.79 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/04. Demo - Installing Tensorflow, Graphviz, and Hidden Layer.mp43.04 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/04. Demo - Installing Tensorflow, Graphviz, and Hidden Layer.vtt2.16 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/05. Demo - Building Dynamic Computations Graphs with PyTorch.mp44.14 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/05. Demo - Building Dynamic Computations Graphs with PyTorch.vtt4.13 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/06. Demo - Visualizing Neural Networks in PyTorch Using Hidden Layer.mp45.35 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/06. Demo - Visualizing Neural Networks in PyTorch Using Hidden Layer.vtt5.45 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/07. Demo - Building Static Computation Graphs with Tensorflow.mp411.05 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/07. Demo - Building Static Computation Graphs with Tensorflow.vtt10.09 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/08. Demo - Visualizing Tensorflow Graphs with Tensorboard.mp43.92 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/08. Demo - Visualizing Tensorflow Graphs with Tensorboard.vtt3.79 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/09. Demo - Dynamic Computation Graphs in Tensorflow with Eager Execution.mp45.98 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/09. Demo - Dynamic Computation Graphs in Tensorflow with Eager Execution.vtt5.29 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/10. Debugging in PyTorch and Tensorflow.mp42.13 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/10. Debugging in PyTorch and Tensorflow.vtt2.25 KB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/11. Summary and Further Study.mp42.27 MB
A1. Foundations of PyTorch (Janani Ravi, 2019)/5. Building Dynamic Computation Graphs/11. Summary and Further Study.vtt2.8 KB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/exercise.7z1.98 MB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/playlist.m3u3.79 KB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/~i.txt1.95 KB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.81 MB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt2.8 KB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/2. Installing PyTorch on a Local Machine/01. Version Check.mp4560.53 KB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/2. Installing PyTorch on a Local Machine/01. Version Check.vtt7 B
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/2. Installing PyTorch on a Local Machine/02. Module Overview.mp41.63 MB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/2. Installing PyTorch on a Local Machine/02. Module Overview.vtt1.58 KB

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