An ancient Christian tomb was discovered in 1945 when workers in Egypt found 13 leather-bound manuscripts, which revealed more information about the sect of Christians called "Gnostics," meaning they teach salvation through mystical knowledge.

This sect was ultimately destroyed by the Roman orthodox church. Their followers were burned at the stake and their writings were destroyed.

In the year 325 AD, we lost tremendous amounts of information. The emperor Constantine, in the early Christian church, with the early Christian Bible made decisions on what information to include, and what information to exclude.

What we know now is that at least 45 books were either completely taken away or tremendously edited, into what we call today our western biblical tradition.

When those edits were made we lost the information that tells us everything is connected.

Read the FULL ARTICLE HERE with Translations in all Languages: https://garylite.com/2018/08/2....8/the-lost-forbidden

The lost gospel of Thomas: http://www.marquette.edu/maqom..../Gospel%20of%20Thoma

Source: Gregg Braden - https://www.greggbraden.com/

References:
The Gospel According to Thomas, Gregg Braden, Neville Goddard

Read the FULL ARTICLE HERE with Translations in all Languages:

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#jesus #jesuschrist #gospelofthomas

*Then Peter said to Jesus in reply, “Rabbi, it is good that we are here! Let us make three tents: one for you, one for Moses, and one for Elijah.” He hardly knew what to say, they were so terrified. Then a cloud came, casting a shadow over them; from the cloud came a voice, “This is my beloved Son. Listen to him.”* Mark 9:5–7

Just prior to the Transfiguration, Jesus began to reveal to His disciples that He would suffer greatly, be rejected by the elders, be killed and then rise on the third day. This caused much fear for the disciples as they grappled with this unsettling revelation from our Lord. And even though Jesus remained firm with them and even rebuked Peter for his fear, Jesus also gave three of His disciples a very precious gift.

After much traveling, preaching, miracle working and private conversations about His passion with the Twelve, Jesus invited Peter, James and John to go with Him up a high mountain to pray. These disciples most likely had no idea what they would soon encounter. As they made the difficult and arduous journey, their minds must have been pondering not only the mighty deeds done by Jesus in the previous months but also His words about the suffering to come. As they struggled with this, much to their amazement, Jesus _“was transfigured before them, and his clothes became dazzling white.”_ Suddenly Moses and Elijah appeared before them, representing the Law and the prophets. These two Old Testament figures appeared as a way of saying to these disciples that everything that Jesus was telling them was to take place to fulfill all that had been foretold about Him from of old.
Perhaps Jesus thought that if His disciples would not fully listen to Him, then seeing Moses and Elijah would help. But Jesus went even further. The Voice of the Father Himself thundered and said, _“This is my beloved Son.
Listen to him.”_ Thus, if these disciples would not ultimately listen to Jesus alone, or if even Moses and Elijah failed to convince them, then the last hope was the Father Himself. And Jesus delivered such a grace.

The Transfiguration was a true mercy. These disciples had never seen anything like it before. But it was most likely this act of mercy that ultimately helped them to accept the hard truth that Jesus was trying to teach them about His coming suffering and death. If the Father in Heaven Personally gave witness to Jesus, then everything that Jesus had said was trustworthy.

As we read through the Gospels and the many teachings God has given us through the Church, think about whether there are some teachings with which you struggle? Or in your own life, on a personal level, are there some things you know God wants of you but you find it difficult to accept? When confusion sets in, that means we are not listening, are not fully hearing what God is saying to us or are not understanding...

Reflect, today, upon this powerful experience given to these disciples by our Lord. Try to place yourself in the scene so as to witness Jesus transfigured in the most glorious way, with Moses and Elijah and with the thundering Voice of the Father. Allow the Father to speak also to you, telling you that all He has spoken through the Scriptures, the Church and within your own conscience is true. Allow this revelation to convince you on the deepest level to acknowledge not only the divinity of Jesus but also to _“Listen to Him”_ in every way.

_My transfigured Lord, You are glorious beyond imagination, and You revealed a small glimpse of this glory to Your disciples to help them trust You more fully. May I also trust in You more completely, knowing that all You have spoken to me is true. Please remove any doubt and fear in my life so that nothing keeps me from embracing Your holy will. Jesus, I trust in You._
_______________________________________________
For more videos and reflections visit:
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*CHAPTERS:*
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0:18 Scripture Quote
0:52 Daily Reflection
5:28 Final Meditation
6:18 Closing Prayer

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From the new album ‘Street Worms’ out 28th September: https://vb.lnk.to/streetwormsYD

Listen to ‘Sports’: http://vb.lnk.to/vbsportsYD

Pre-order 'Street Worms' and surf the web
http://vboysstockholm.com
--

Director: Simon Jung
DOP: Paul Evans
Producer: Manga Minja
Production Company: Diktator
Executive Producer: Diktator/YEAR0001
1AC: Isak Lennström
2AC: Ollie Nordh
Sound & Sound design: Charlie Persson
Hair and makeup: Alice Lönnblad
Production assistant: Henrik Grill
Judge: Torbjörn Ström
Tennis Player: Jenny Vogel
Edit: Simon Jung
Grade: Sabina Törnberg, Media Monks
Online: Anders Bergén, The Line

Want to unlock the power of speech recognition and convert audio into written text using Python? This step by step comprehensive tutorial guides you through the process of creating a Python script that effortlessly transcribes speech to text. Whether you're a beginner or an experienced programmer, join us as we explore step-by-step instructions, practical examples, and valuable insights into the fascinating world of speech recognition. Watch this video and equip yourself with the skills to enhance accessibility and build voice-controlled applications.

Documentation Link:
https://www.geeksforgeeks.org/....python-convert-speec

#python #speechrecognition #codingtutorial #pythontutorial

After a miscarriage threatens their marriage, Molly and Tim find solace in helping a pregnant homeless girl. But when the child's father appears, it forces all involved to confront their deepest fears—a gripping tale of love and loss.
Directed by Carrie Simon
Starring Eddie McClintock, Brittanie Van Dyke, Nickoloas Papalaskaris, Shay Meche, Peyton North

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Music video by Sports performing You Are The Right One

Shop: https://merch.sportsbandok.com/
Buy the Naked All The Time on vinyl here: https://sports.ffm.to/nattyt
Stream Get A Good Look Pt.1: https://sports.ffm.to/gaglpt1

Directed By: Brandon Waddell
Title Design: Jacob Theriot
Filmed In: Norman, OK


Follow Sports
http://sportsbandok.com
Facebook : http://facebook.com/sportsbandok
Instagram : http://instagram.com/sportsbandok
Twitter : http://twitter.com/sportsbandok
Soundcloud : http://soundcloud.com/sportsbandok
Bandcamp: https://sportsbandok.bandcamp.com/

Lyrics:
You were the right way
I was just waiting ' for you to look at me
Is there a wrong time
Baby, I'm guessing
Just let me know

Well, it's been a long time
Since you've been lonely
So what will I do
You are the right one
And I'm just the boy who is looking at you

Peut-être une prochaine fois, au détour d'un bar
So what will I do
Avec quatre grammes dans l'sang
À plus mec, bonne soirée

I tried the wrong way
I was just guessing, biding my time
You are the only one I can picture by my side

#NakedAllTheTime #Sports

Unlock the eye-opening secret to creating stunning AI influencers for Instagram with our Ultimate Guide for 2024!

Links:
Leonardo AI: https://app.leonardo.ai/
Discord: https://discord.com/
Git Hub (Face Swap Bot): https://github.com/deepinsight..../insightface/tree/ma
Tensor ART : https://tensor.art/
Google Colab: https://colab.research.google.....com/drive/1o2LG8e_kg

⚠ Disclaimer:
I do not encourage using other people's videos to do deepfakes on. Try to make them yourself, ask your girlfriend/sister/mother or anyone on fiverr to do it. It was showcased in the tutorial to show what AI is capable of.

Are you ready to elevate your social media presence and dive deep into the cutting-edge world of AI influencers? In this comprehensive step-by-step tutorial, we’ll not only teach you how to create hyper-realistic virtual Instagram models without spending a dime but also empower you with the skills to harness the full potential of this innovative trend!

## Why AI Influencers Matter in 2024
As we step into 2024, AI influencers are revolutionizing the landscape of social media, merging technology with creativity in ways we never thought possible. With the meteoric rise of virtual influencers, brands are clamoring to leverage this exciting new trend. If you’re a digital marketer, content creator, entrepreneur, or simply a social media enthusiast eager to stand out, this guide is tailored just for you!

## What You Will Learn
- The Basics of AI Influencer Creation Understand the fundamental concepts of AI influencers and how they differ from traditional models, including what makes them successful in the digital landscape.

- Tools You Need Discover the best free tools and platforms to create your virtual influencers. We'll guide you through the top options, including Leonardo AI and Tensor ART, to make the process smooth and enjoyable.

- Step-by-Step Tutorial Follow our detailed and easy-to-follow instructions to create your first AI influencer from scratch, making the complex process simple and accessible.

- Editing and Customization Techniques Learn insider tips to edit and customize your virtual influencer. We'll cover techniques that will help make your creations look more realistic and engaging, including software recommendations and editing checks.

- Ethical Considerations Join us as we discuss the crucial ethical considerations surrounding AI technologies, including the importance of authenticity and responsibility in content creation.

## Key Features of the Tutorial
- Hands-On Approach This tutorial adopts a practical approach, featuring real-world examples to ensure you grasp every step and concept thoroughly.

- Resource Sharing We will share links to useful tools and communities, such as Discord groups and GitHub repositories, to enhance your learning experience and provide ongoing support.

- Creative Ideas Get inspired by our showcase of successful AI influencers already making waves on Instagram! See what works in the real world and how you can emulate this success.

## Additional Resources
- Leonardo AI Explore the power of AI creation with [Leonardo AI App](https//app.leonardo.ai).

- Tensor ART Dive into advanced functionalities with [Tensor ART Tool](https//tensor.art).

- Google Colab Get started on your AI projects with [Google Colab for AI projects](https//colab.research.google.com/drive/1o2LG8e_kg174vPjI_OQ9Xs1r8U4BSk-w?usp=sharing).

## Business Inquiries
If you're interested in collaborations or have inquiries about the content, please reach out via email at AIMastery.inquiries@gmail.com.

## Conclusion
Don’t miss out on the incredible opportunity to revolutionize your social media presence with captivating AI influencers! Whether you’re a marketer, creator, or simply curious about virtual models, this video will equip you with the knowledge and skills to create stunning digital personas.

## Call to Action
If you enjoyed this tutorial, please like, share, and subscribe to my channel for more amazing content! Take the necessary steps to join us on this innovative journey, and start sharing your AI creations with the world!

Remember, it’s not just about technology—it’s about creativity and connection. Get ready to create your very own AI influencer today!

In this video, you will learn how to build your first machine learning model in Python using the scikit-learn library.

🔗 Colab https://colab.research.google.com/
🔗 Code https://github.com/dataprofessor/first-ml
🔗 GitHub https://github.com/dataprofessor
🔗 Blog https://towardsdatascience.com..../how-to-build-a-mach

📖 DiscoverDataScience https://www.discoverdatascience.org
📖 https://www.discoverdatascience.org/articles/journey-through-data-science-with-the-data-professor/

Time stamp
0:00 Introduction
0:15 Getting started with Google Colab
1:30 Load dataset
6:52 Split to X and y
8:30 Split data to train/test set
11:45 About DiscoverDataScience
13:00 Model building with Linear regression
21:55 Model building with Random forest
26:00 Model comparison
27:55 Data visualization
30:32 Conclusion

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#datascience #machinelearning #dataprofessor

Access the Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Link to the Repl: https://replit.com/@codewithha....rry/96-Day-96-AsyncI
Join Replit the browser-based IDE used in this course - https://join.replit.com/code-with-harry-100-doc
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: www.instagram.com/codewithharry

python, C, C++, Java, JavaScript and Other Cheetsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

►Learn in One Video[++]:
Python[15 Hr]: https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr]: https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr]: https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr]: https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min]:https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr]: https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr]: https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr]:https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min]:https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr]:https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr]:https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr]:https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr]:https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr]:https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr]:https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr]:https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr]:https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

►Complete course [playlist]:
React: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo:https://www.youtube.com/playli....st?list=PLu0W_9lII9a

Follow Me On Social Media
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Comment "#HarryBhai" if you read this 😉😉

It's Modern Warfare 3 Season 6 Launch Day and with it comes The Haunting event! We are also getting a NEW Battle Pass including the Kastov LSW (LMG) and DTIR 30-06 (Battle Rifle).

Warzone Season 6 Battle Pass 0:00
Warzone Season 6 Patch Notes 4:02:05
Warzone Season 6 Gameplay 5:27:34

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Music: Gruber - The Uprising

#mw3 #modernwarfare3 #warzone

Call of Duty , Warzone 3 , MWZ , Zombies , MW3 Zombies , COD Zombies , Modern Warfare 3 , MW3 , Gaming , Phixate

When it comes to caliber, .22LR is not necessarily the strongest one or super useful for self-defense. However, it is a timeless cartridge that just goes and goes on. Why? It is super affordable, there is plenty of it, it comes with little to no recoil, makes little noise, and gets shot from equally affordable guns. So, if you are looking for a good rifle to shoot this little round, we will show you the best of them.

Please LIKE and SUBSCRIBE help us reach 500k Subscribes ☺

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Have you heard that people are using AI to create 3D models?!? In this Blender tutorial, we’ll show you how to use ChatGPT to create 3D models in Blender. We’ll cover what’s possible, what’s practical, and what the future may hold.

Intro (00:00)
Getting Setup with the Right Tools (00:52)
How to Get Up and Running in Blender (01:08)
How to Get Started with ChatGPT (02:10)
How to Use ChatGPT and Blender Together (03:19)
GPT-4 and Beyond (07:07)

Links mentioned in the video:

- Download Blender → https://www.blender.org/download/
- Blender's Linux reference docs → https://docs.blender.org/manua....l/en/latest/getting_
- ChatGPT → https://chat.openai.com/
- Our Getting Started with Blender tutorial → https://youtu.be/TG_vamse41c

Thanks for watching!

Make sure to 👍 and subscribe.

=========================
“I was terrified to learn Blender but after this, I am now addicted, thank you for the awesome tutorial.” Bright tendai Muvirimi 😃
=========================

What next?

Try out your own prompts and ideas, and leave us a comment about the cool things you create and discover!

And, me sure to check out one of the videos on this playlist → https://www.youtube.com/watch?v=Dnqd9lQc2rg&list=PLmOmCl3Ryy58XK8H-pwTBUeaLHmODy-np

=========================
“That was the most amazing video I have seen about Blender.” Richard Glady 😃
=========================

The following works were shown in this video:

“Midjourney as it Imagines Itself” by Chikorita (https://commons.wikimedia.org/....wiki/File:Midjourney licensed under CC BY-SA 4.0 (https://creativecommons.org/li....censes/by-sa/4.0/dee

“Futuristic City Left in Destruction” by Benlisquare (https://commons.wikimedia.org/....wiki/File:Algorithmi licensed under CC BY-SA 4.0 (https://creativecommons.org/li....censes/by-sa/4.0/dee

“Cyberpunk Cityscape” by Benlisquare (https://commons.wikimedia.org/....wiki/File:Algorithmi licensed under CC BY-SA 4.0 (https://creativecommons.org/li....censes/by-sa/4.0/dee

“Lunte Walkcycle in Environment” by Blender Studio (https://studio.blender.org/fil....ms/settlers/5ea989ba licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

“Coffee Run” by Blender Studio (https://studio.blender.org/films/coffee-run/) licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

“Agent 327: Operation Barbershop - Original Video File” by Blender Institute, based on original character by Martin Lodewijk licensed under CC BY-ND 4.0 (https://creativecommons.org/licenses/by-nd/4.0/)

"Timelapse: Sculpting Rain's Head" by Blender Studio (https://studio.blender.org/tra....ining/stylized-chara licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

The following artists’ works were also shown in this video with their permission:

Artur Szóstakowski - https://www.behance.net/megatecture

Sabino Leerentveld - https://www.behance.net/sabaman

____________________________
ABOUT BLENDER ACADEMY
Blender Academy is the place where professionals go when they’re serious about learning Blender (https://www.blenderacademy.com).

#blendertutorial #chatgpt

Learn how the announcement trailer came to life from storyboard to the final video in our second Behind the Scenes episode.

Are you ready to master the apocalypse? Add Exoborne, the new game from @Sharkmob and @lvlinfinite to your wishlist today!

Unlock more content in the coming weeks through RE_HACK:
https://exoborne.com/rehack

Join the Exoborne Community!
https://linktr.ee/Exoborne

Video made by Platige

Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.

Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn

⭐️ Contents ⭐️

Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn

Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables

Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures

Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive

Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers

Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots

Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting

Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations

Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops

Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations

MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning

Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records

Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet

Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning

Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method

Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb

Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust

Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing

Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs

Conclusion
⌨️ (37:15:45) What's Next

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