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https://canv.ai/
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We are excited to announce that Canv.ai now features a built-in translator, allowing you to communicate in your native language. You can write prompts in your language, and they will be automatically translated into English, facilitating communication and the exchange of ideas!

We value freedom of speech and guarantee the absence of censorship on Canv.ai. At the same time, we hope and believe in the high moral standards of our users, which will help maintain a respectful and constructive atmosphere.


👉 Check for yourself!

Keras: Practical AI Projects & Deep Learning using Keras

Posted By: lucky_aut
Keras: Practical AI Projects & Deep Learning using Keras

Keras: Practical AI Projects & Deep Learning using Keras
Published 3/2024
Duration: 9h26m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.56 GB
Genre: eLearning | Language: English

Explore practical AI projects, including chatbots, sentiment analysis, image classification, advanced face recognition

Hands-On Computer Vision with TensorFlow 2 (Repost)

Posted By: step778
Hands-On Computer Vision with TensorFlow 2 (Repost)

Eliot Andres, "Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras"
English | 2019 | pages: 363 | ISBN: 1788830644 | PDF | 20,4 mb

Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow [Repost]

Posted By: IrGens
Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow [Repost]

Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow by Nazia Habib
English | April 17, 2019 | ISBN: 1789345804 | True EPUB | 212 pages | 9.6 MB

Building Deep Learning Applications with Keras

Posted By: IrGens
Building Deep Learning Applications with Keras

Building Deep Learning Applications with Keras
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 50m | 283 MB
Instructor: Isil Berkun

Deep Learning with Python and Keras: Build a Model For Sentiment Analysis

Posted By: IrGens
Deep Learning with Python and Keras: Build a Model For Sentiment Analysis

Deep Learning with Python and Keras: Build a Model For Sentiment Analysis
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 55m | 206 MB
Instructor: Janani Ravi

Keras Beyond Basics and Python Mastery for Intermediate Programmers

Posted By: eBookRat
Keras Beyond Basics and Python Mastery for Intermediate Programmers

Keras Beyond Basics and Python Mastery for Intermediate Programmers: An Intermediate Guide to Deep Learning and Unleashing The Power of Advanced Python Techniques 2 Books in 1
by JP Peterson

English | 23 Nov. 2023 | ISBN: N/A | ASIN: B0CNXB7T42 | 491 Pages | PNG | 29 MB

In this ebook, you'll embark on a journey that delves deeper into the intricacies of deep neural networks, equipping you with the knowledge and tools to tackle complex real-world problems. Whether you're interested in computer vision, natural language processing, or reinforcement learning, this guide will empower you to build and optimize advanced deep learning models.

Hands-On Generative Adversarial Networks with Keras

Posted By: hill0
Hands-On Generative Adversarial Networks with Keras

Hands-On Generative Adversarial Networks with Keras:
Your guide to implementing next-generation generative adversarial networks

English | 2019 | ISBN: 9781789538205 | 426 Pages | PDF EPUB MOBI (True) | 165 MB

Deep Learning with TensorFlow and Keras (Repost)

Posted By: DZ123
Deep Learning with TensorFlow and Keras (Repost)

Sujit Pal, "Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition"
English | 2022 | ISBN: 1803232919 | EPUB | pages: 698 | 49.1 mb

Artificial Neural Networks (ANN) with Keras in Python and R

Posted By: lucky_aut
Artificial Neural Networks (ANN) with Keras in Python and R

Artificial Neural Networks (ANN) with Keras in Python and R
Last updated 2022-11-03
Duration: 08:30:56 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.16 GB
Genre: eLearning | Language: English [Auto]

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition (Repost)

Posted By: step778
The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition (Repost)

Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat, "The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition"
English | 2020 | pages: 445 | ISBN: 183921757X | PDF | 14,2 mb

Advanced Deep Learning with Keras (repost)

Posted By: hill0
Advanced Deep Learning with Keras (repost)

Advanced Deep Learning with Keras
by Rowel Atienza

English | 2018 | ISBN: 1788629418 | PDF EPUB True | 368 pages | 38 Mb

Hands-On Keras for Machine Learning Engineers

Posted By: IrGens
Hands-On Keras for Machine Learning Engineers

Hands-On Keras for Machine Learning Engineers
.MKV, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 17m | 6.25 GB
Instructor: Mike West

Keras Tips, Tricks, and Techniques

Posted By: IrGens
Keras Tips, Tricks, and Techniques

Keras Tips, Tricks, and Techniques
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 2h 31m | 3.01 GB
Instructor: John de Havilland

The Deep Learning Workshop (Repost)

Posted By: DZ123
The Deep Learning Workshop (Repost)

Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, "The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras"
English | 2020 | ISBN: 1839219858 | EPUB | pages: 474 | 20.8 mb

The Applied TensorFlow and Keras Workshop (Repost)

Posted By: DZ123
The Applied TensorFlow and Keras Workshop (Repost)

Harveen Singh Chadha, Luis Capelo, "The Applied TensorFlow and Keras Workshop: Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker"
English | 2020 | ISBN: 1800201214 | EPUB | pages: 174 | 12.3 mb