Top videos | CashInVids – Watch Videos & Earn Money Online

Home
Articles

Top videos

All Time

Today

This week

This month

This year

Deep Learning for Computer Vision with Python and TensorFlow – Complete Course 121gamers 104 Views • 2 years ago

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

Create Stunning AI Influencers for Free Your Ultimate 2024 Guide to Virtual Instagram Models! 121gamers 108 Views • 2 years ago

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!