Free download » Free download video courses » IT and Programming » Machine Learning with TensorFlow, Second Edition, Video Edition
| view 👀:11 | 🙍 oneddl | redaktor: Baturi | Rating👍:

Machine Learning with TensorFlow, Second Edition, Video Edition

Machine Learning with TensorFlow, Second Edition, Video Edition
Free Download Machine Learning with TensorFlow, Second Edition, Video Edition
Published: 01/2021
Duration: 10h 48m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 1.63 GB
Genre: eLearning | Language: English
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.


Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers.
About the Technology
Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don't have to be a mathematician to use ML: Tools like Google's TensorFlow library help with complex calculations so you can focus on getting the answers you need.
About the Book
Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You'll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10.
What's Inside
Machine Learning with TensorFlow
Choosing the best ML approaches
Visualizing algorithms with TensorBoard
Sharing results with collaborators
Running models in Docker
https://www.oreilly.com/videos/machine-learning-with/9781617297717VE/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


Rapidgator
sxgfb.Machine.Learning.with.TensorFlow.Second.Edition.Video.Edition.part1.rar.html
sxgfb.Machine.Learning.with.TensorFlow.Second.Edition.Video.Edition.part2.rar.html
Fikper




No Password - Links are Interchangeable

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload

In today's era of digital learning, access to high-quality educational resources has become more accessible than ever, with a plethora of platforms offering free download video courses in various disciplines. One of the most sought-after categories among learners is the skillshar free video editing course, which provides aspiring creators with the tools and techniques needed to master the art of video production. These courses cover everything from basic editing principles to advanced techniques, empowering individuals to unleash their creativity and produce professional-quality content.

📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.