Linkedin - Learning JAX

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[ CourseWikia.com ] Linkedin - Learning JAX
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 01 - Prerequisites.mp4 (1.6 MB)
    • 01 - Prerequisites.srt (1.7 KB)
    • 02 - What is JAX.mp4 (5.6 MB)
    • 02 - What is JAX.srt (6.0 KB)
    • 03 - Why use JAX.mp4 (9.7 MB)
    • 03 - Why use JAX.srt (10.2 KB)
    • 04 - Choosing JAX.mp4 (3.9 MB)
    • 04 - Choosing JAX.srt (4.3 KB)
    • 05 - JAX vs. TensorFlow vs. PyTorch.mp4 (7.4 MB)
    • 05 - JAX vs. TensorFlow vs. PyTorch.srt (6.4 KB)
    • 06 - Getting set up with Colab.mp4 (4.2 MB)
    • 06 - Getting set up with Colab.srt (4.0 KB)
    02 - 1. Working with JAX Arrays
    • 01 - JAX arrays.mp4 (7.8 MB)
    • 01 - JAX arrays.srt (7.3 KB)
    • 02 - JAX arrays and NumPy arrays Similarities.mp4 (9.3 MB)
    • 02 - JAX arrays and NumPy arrays Similarities.srt (7.9 KB)
    • 03 - JAX arrays and NumPy arrays Differences.mp4 (6.1 MB)
    • 03 - JAX arrays and NumPy arrays Differences.srt (4.7 KB)
    • 04 - Asynchronous dispatch and JAX array speed up.mp4 (5.8 MB)
    • 04 - Asynchronous dispatch and JAX array speed up.srt (5.0 KB)
    03 - 2. Just-in-Time Compilation
    • 01 - Composable function transformations.mp4 (5.5 MB)
    • 01 - Composable function transformations.srt (5.7 KB)
    • 02 - JIT and pure functions.mp4 (9.0 MB)
    • 02 - JIT and pure functions.srt (9.5 KB)
    • 03 - Using JIT.mp4 (6.7 MB)
    • 03 - Using JIT.srt (5.6 KB)
    • 04 - Tracer objects in JIT.mp4 (10.8 MB)
    • 04 - Tracer objects in JIT.srt (8.3 KB)
    • 05 - Impure functions and JIT IO streams.mp4 (3.2 MB)
    • 05 - Impure functions and JIT IO streams.srt (3.2 KB)
    • 06 - Impure functions and JIT Global state.mp4 (6.2 MB)
    • 06 - Impure functions and JIT Global state.srt (6.2 KB)
    • 07 - Impure functions and JIT Iterators.mp4 (5.3 MB)
    • 07 - Impure functions and JIT Iterators.srt (4.8 KB)
    • 08 - Jaxprs.mp4 (4.7 MB)
    • 08 - Jaxprs.srt (4.2 KB)
    • 09 - Control flow statements and JIT.mp4 (4.8 MB)
    • 09 - Control flow statements and JIT.srt (5.1 KB)
    • 10 - Static arguments in jitted functions.mp4 (6.8 MB)
    • 10 - Static arguments in jitted functions.srt (6.2 KB)
    • 11 - Lambdas and JIT.mp4 (3.4 MB)
    • 11 - Lambdas and JIT.srt (3.0 KB)
    04 - 3. Automatic Vectorization and Automatic Parallelization
    • 01 - Understanding vectorization and parallelization.mp4 (6.6 MB)
    • 01 - Understanding vectorization and parallelization.srt (7.2 KB)
    • 02 - Automatic vectorization.mp4 (9.7 MB)
    • 02 - Automatic vectorization.srt (7.1 KB)
    • 03 - Comparing naive and manual batching with automatic vectorization.mp4 (12.7 MB)
    • 03 - Comparing naive and manual batching with automatic vectorization.srt (10.2 KB)
    05 - 4. Computing Gradients
    • 01 - Understanding gradient computation.mp4 (5.1 MB)
    • 01 - Understanding gradient computation.srt (4.6 KB)
    • 02 - Gradient computation.mp4 (5.4 MB)
    • 02 - Gradient computation.srt (4.6 KB)
    • 03 - Higher order gradients.mp4 (5.8 MB)
    • 03 - Higher order gradients.srt (5.4 KB)
    • 04 - Jacobians and Hessians.mp4 (6.0 MB)
    • 04 - Jacobians and Hessians.srt (5.1 KB)
    06 - 5. Performing Transformations on pytrees
    • 01 - Understanding pytrees.mp4 (4.2 MB)
    • 01 - Understanding pytrees.srt (5.6 KB)
    • 02 - Simple pytrees.mp4 (10.7 MB)
    • 02 - Simple pytrees.srt (9.6 KB)
    • 03 - Operations on pytrees.mp4 (6.2 MB)
    • 03 - Operations on pytrees.srt (5.5 KB)
    • 04 - Pytree containers.mp4 (3.4 MB)
    • 04 - Pytree containers.srt (2.5 KB)
    • 05 - Custom containers as pytrees.mp4 (7.0 MB)
    • 05 - Custom containers as pytrees.srt (5.5 KB)
    07 - 6. Training Simple Neural Networks
    • 01 - Regression using a single neuron Loading and preprocessing data.mp4 (8.7 MB)
    • 01 - Regression using a single neuron Loading and preprocessing data.srt (6.8 KB)
    • 02 - Regression using a single neuron Helper functions.mp4 (6.1 MB)
    • 02 - Regression using a single neuron Helper functions.srt (4.8 KB)
    • 03 - Regression using a single neuron Training and evaluating a model.mp4 (4.8 MB)
    • 03 - Regression using a single neuron Training and evaluating a model.srt (4.1 KB)
    • 04 - Regression using a neural network Helper functions.mp4 (10.0 MB)
    • 04 - Regression using a neural network Helper functions.srt (8.5 KB)
    • 05 - Regression using a neural network Training a model and visualizing results.mp4 (5.8 MB)
    • 05 - Regression using a neural network Training a model and visualizing results.srt (4.4 KB)
    • 06 - Classification using neural network Loading and preprocessing data.mp4 (8.2 MB)
    • 06 - Classification using neural network Loading and preprocessing data.srt (6.5 KB)
    • 07 - Classification using neural network Training and evaluating model.mp4 (10.2 MB)
    • 07 - Classification using neural network Training and evaluating model.srt (8.2 KB)
    08 - Conclusion
    • 01 - Summary and next steps.mp4 (3.5 MB)
    • 01 - Summary and next steps.srt (3.9 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Learning JAX



https://CourseWikia.com

Released 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 23m | Size: 267.9 MB

In this course, instructor Janani Ravi gives you an in-depth look at JAX, a new experimental Python library designed for high performance, scientific computing and machine learning. Janani takes you through all aspects of JAX and what it is capable of, including: just-in-time compilation; automatic vectorization and automatic parallelization; computing gradients; performing transformations on pytrees; training simple neural networks; and more.



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267.8 MB
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Linkedin - Learning JAX

Torrent hash: 6F5242E6D3A59A3619654130A7FBB479ADE6CD7E