Build a Neural Network with Python Tutorial - Deep Learning with PyTorch
Learn to build, train, and evaluate a neural network for weather prediction using PyTorch. Covers data preprocessing, model architecture, GPU acceleration, and practical applications.
What Is a Neural Network? - Machine Learning for JavaScript Hackers with TensorFlow.js
Explore neural networks, perceptrons, and sigmoid neurons using TensorFlow.js. Learn about activation functions, network architecture, and weight initialization for machine learning in JavaScript.
AI Drew All of These - DALLE-2 Walkthrough
Explore DALLE-2's capabilities in generating hyper-realistic images from text prompts. Learn about prompts, in-painting, and practical techniques for creating stunning AI-generated visuals.
Build a Generative Adversarial Neural Network with Tensorflow and Python - Deep Learning Projects
Learn to build a Generative Adversarial Network from scratch using Python and TensorFlow. Master data visualization, neural network construction, custom training loops, and image generation in this hands-on deep learning project.
Build a Deep Iris Detection Model Using Python and Tensorflow - Keypoint Detection
Develop an iris tracking model using keypoint detection with TensorFlow and Python. Learn data preparation, model creation, training, and real-time detection for advanced computer vision applications.
Build a Comment Toxicity Model with Deep Learning and Python
Learn to detect toxic comments using deep learning and Python. Build a model, prepare data, make predictions, evaluate results, and create a Gradio app for practical application.
Build a Deep CNN Image Classifier with Any Images
Learn to build a custom deep CNN image classifier from scratch using Python, TensorFlow, and Keras. Covers data pipeline, preprocessing, network building, training, evaluation, and model saving.
Getting Started with Python Deep Learning for Beginners
Learn to set up Python, Jupyter, and TensorFlow for deep learning. Create environments, configure GPU, and train an image classifier. Perfect for beginners starting their deep learning journey.
Build a Deep Audio Classifier with Python and Tensorflow
Learn to build a deep audio classifier using Python and TensorFlow, covering data loading, preprocessing, model creation, and prediction for audio classification tasks.
Deep Fake Images and Video with SimSwap
Learn to apply face swapping technology using SimSwap model. Gain understanding of the GAN, apply it to images and videos, and explore various use cases. Includes step-by-step tutorial and final results demonstration.
Bringing Old Images Back to Life with DeOldify AI and Python
Learn to recolor black and white images using DeOldify AI and Python in this beginner-friendly tutorial. Covers setup, implementation, and showcases impressive results.
Build a Deep Q&A Web App with Transformers and Anvil - Python Deep Learning App
Learn to create a deep learning Q&A web app using Python, Transformers, and Anvil. Covers model loading, app development, integration, and deployment in a hands-on tutorial.
Detect Edges with OpenCV and Python - Computer Vision Tutorial
Learn to apply Canny Edge Detection using OpenCV and Python, including parameter tuning, noise reduction, and result exporting in this comprehensive computer vision tutorial.
Accessing USB Devices and Webcams with OpenCV and Python
Learn to access webcams and USB devices using OpenCV and Python, including capturing photos and creating real-time video feeds. Practical tutorial with code examples and step-by-step guidance.
Build a Python Facial Recognition App with Tensorflow and Kivy
Learn to create a facial recognition app using Python, TensorFlow, and Kivy. Covers deep learning model development, image processing, and app integration for practical authentication implementation.
Build a Deep Facial Recognition App - Kivy Computer Vision App with OpenCV and Tensorflow
Learn to build a deep facial recognition app using Kivy, OpenCV, and TensorFlow. Implement facial verification, create a custom layer, handle webcam input, and fine-tune the model for optimal performance.
Build a Deep Facial Recognition App - Real Time Predictions with OpenCV - Python
Learn to implement real-time facial recognition in Python using OpenCV, including setting up verification images, building a verify function, and performing recognition with webcam integration.
Build a Deep Facial Recognition App - Making Facial Recognition Predictions - Python
Learn to implement facial recognition in Python using Siamese Neural Networks, including making predictions, calculating metrics, and saving/reloading the model for real-world applications.
Build a Deep Facial Recognition App - Training a Siamese Neural Network - Python
Learn to train a Siamese Neural Network for facial recognition using Python and TensorFlow. Covers loss functions, optimizers, custom training steps, and model training implementation.
Build a Deep Facial Recognition App - Building a Siamese Neural Network - Python
Learn to build a Siamese Neural Network for facial recognition using TensorFlow, including image embedding, L1 distance layer, and model integration in a Kivy app.
Build a Deep Facial Recognition App - Collecting Data - Deep Learning Project Tutorial
Learn to build a deep facial recognition app by collecting and processing data, using OpenCV for webcam access, and preparing images for model training.