Deploy with FastAPI - Sentiment Analysis with BERT Using Huggingface, PyTorch, and Python Tutorial
Learn to deploy a pre-trained BERT model for sentiment analysis as a REST API using FastAPI, PyTorch, and Hugging Face. Covers project setup, API creation, model integration, and real-time predictions.
OpenCV Python Tutorial for Beginners - Image Processing for Computer Vision & Deep Learning
Comprehensive guide to image processing with OpenCV in Python, covering essential techniques from basic operations to advanced manipulations for computer vision applications.
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.
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.
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 Street Fighter AI Model with Python - Gaming Reinforcement Learning Full Course
Learn to create an AI model for Street Fighter using Python, covering setup, preprocessing, hyperparameter tuning, and model fine-tuning. Gain hands-on experience in gaming reinforcement learning.
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.
Build a Doom AI Model with Python - Gaming Reinforcement Learning Full Course
Learn to create AI models for Doom using Python, VizDoom, OpenAI Gym, and Stable Baselines 3. Master reinforcement learning techniques, curriculum learning, and reward shaping for game AI development.
Build a Mario AI Model with Python - Gaming Reinforcement Learning
Learn to create an AI model that plays Super Mario using Python and reinforcement learning. Set up the environment, preprocess data, build and train the model, and see the results in action.
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 - 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.
Automatic Summarization Using Deep Learning - Abstractive Summarization With Pegasus
Learn to use Pegasus for automatic text summarization with Python and Transformers. Covers installation, model configuration, and summarizing Wikipedia articles, news, and scientific papers.