Learn Docker Quickly - Machine Learning Project for Beginners
Hands-on Docker tutorial for beginners, covering containers, images, and Dockerfiles. Build a simple ML project using Huggingface Transformers and deploy to DockerHub.
Melody Generation with Transformers - Generative Music AI
Implement a transformer architecture in TensorFlow for end-to-end melody generation. Learn melody encoding, dataset preprocessing, model building, training, and inference techniques for AI-driven music creation.
Vehicle - A Specification Language for Neural Network Properties
Explore Vehicle, a functional DSL for specifying neural network properties. Learn to express, compile, and verify specifications across platforms, enhancing safety in ML-enhanced systems.
Classifying Skin Cancer - TensorFlow Tutorial
Build a TensorFlow model to classify skin lesions as benign or malignant. Learn preprocessing, model setup, training, and evaluation using metrics like ROC curves for this important medical application.
TensorFlow Tutorial - Custom Dataset for Text with TextLineDataset
Learn to create custom text datasets in TensorFlow using TextLineDataset. Covers loading, filtering, vocabulary creation, and numericalizing for various text data structures, including IMDB reviews and translation datasets.
Complete TensorBoard Guide
Comprehensive guide to TensorBoard features including loss plots, image visualization, confusion matrices, hyperparameter tuning, embedding projections, and TensorFlow profiler for model optimization and analysis.
TensorFlow Tutorial - TensorFlow Datasets
Learn to use TensorFlow Datasets for loading, preprocessing, and modeling image and text data. Covers MNIST image classification and IMDB sentiment analysis with practical examples and code demonstrations.
Pytorch TensorBoard Tutorial
Comprehensive guide to TensorBoard in PyTorch: plotting functions, hyperparameter search, image and weight visualization, and embedding projector. Practical examples included.
Build a Deep Facial Recognition App - Preparing Data for Deep Learning - TF Dataloader
Learn to build a deep facial recognition app using TensorFlow, covering data preparation, image processing, and pipeline creation for training and testing a Siamese Neural Network model.
TensorFlow Lite in Android with Google Play Services
Explore TensorFlow Lite integration in Android using Google Play services, enabling efficient ML model deployment, reduced app size, and improved performance without static library bundling.
Keras Preprocessing Layers
Learn to streamline model development with Keras Preprocessing Layers. Build end-to-end models, transform inputs, and improve performance using tf.data and multi-worker training.
Generative Adversarial Networks and TF-GAN - ML Tech Talks
Explore Generative Adversarial Networks (GANs) and TF-GAN library. Learn GAN applications, metrics, self-attention GAN, and practical implementation tips from a TensorFlow Research Engineer.
Implementing DeepMind's DQN from Scratch - Project Update
Explore DeepMind's DQN implementation process, including project organization, code walkthrough, and visualization techniques for reinforcement learning algorithms.
Body Segmentation with Python and Tensorflow BodyPix - AI Background Removal
Learn to create AI-powered virtual backgrounds using Python, OpenCV, and BodyPix. Segment your body in real-time, remove backgrounds, and apply custom virtual backgrounds without a green screen.
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 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.
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.