Intro to PyTorch Tutorial - Building Fashion Recognizer
Learn to build a fashion recognizer using PyTorch in this hands-on tutorial. Covers core functionality, network architecture, loss functions, optimizers, and TensorBoard integration for effective model training.
Neural Networks and TensorFlow Crash Course
Comprehensive introduction to neural networks and TensorFlow, covering key concepts, data handling, model building, and practical applications in image and text classification.
TensorFlow.js Color Classifier Continued
Comprehensive live stream covering TensorFlow.js color classifier implementation, including model training, data handling, and a bonus Tau Day coding challenge.
Color Classifier with TensorFlow.js
Learn to build a color classifier using TensorFlow.js, covering topics like one-hot encoding and integrating with Firebase for data collection and processing.
Machine Learning Tutorial Python - Machine Learning for Beginners
Comprehensive tutorial covering machine learning basics, algorithms, and projects using Python libraries. Includes deep learning, neural networks, and advanced topics for beginners to intermediate learners.
Deep Learning With Tensorflow 2.0, Keras and Python
Comprehensive deep learning series covering neural networks, CNNs, RNNs, and advanced topics using TensorFlow 2.0, Keras, and Python. Includes hands-on projects and practical applications.
Python Deep Learning Neural Network API
Learn to build, train, and deploy neural networks using Keras API. Covers data preprocessing, CNNs, transfer learning, and model deployment techniques for both front-end and back-end applications.
Tensorflow, Pytorch and OpenCV Setup with CUDA
The series covers settingup tensorflow with and without CUDA and contains the basics of jupyter notebook.
Deep Learning Neural Network Tutorials
Comprehensive tutorials on deep learning and neural networks, covering key concepts, architectures, and practical implementation using TensorFlow and Google Colab.
Machine Learning & Deep Learning Projects
Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.
TensorFlow Computer Vision Tutorials - OpenCV Python
Learn essential computer vision techniques using TensorFlow and MediaPipe. Build real-time applications for face detection, pose estimation, hand tracking, and object detection with Python and OpenCV.
Build Mobile OCR Scanner App with Flutter
Learn to build an OCR scanner app for Android and iOS using Flutter and Google ML Vision, converting images to text with machine learning techniques.
Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 1-2
Comprehensive introduction to TensorFlow and deep learning fundamentals, covering tensor operations, neural network regression, and classification. Hands-on coding examples and practical insights for building and improving models.
Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 2/2
Dive deep into TensorFlow and Python, mastering non-linear models, multi-class classification, and advanced techniques for optimizing neural networks and evaluating their performance.
From Data to Dashboard - Make an Interactive Model
Learn to create an interactive dashboard from raw data using Python. Master data cleaning, exploration, modeling, and visualization techniques for real-world data science projects.
Introduction to Convolutional Neural Networks with TensorFlow
Learn to build and implement convolutional neural networks for image classification using TensorFlow. Gain hands-on experience in deep learning techniques for computer vision tasks.
HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning
Comprehensive introduction to HuggingFace and Transformers library, covering sentiment analysis, Model Hub exploration, and fine-tuning techniques for NLP tasks.
TensorFlow 2 Beginner Course
Comprehensive introduction to TensorFlow 2.0 and Keras, covering key concepts and practical applications in deep learning through hands-on projects and real-world examples.
AI & ML Workflows with Kubernetes
Explore strategies to accelerate and automate AI/ML workflows using Kubernetes, leveraging open-source tools like Jupyter Notebooks and TensorFlow for efficient development and deployment.
Inside TensorFlow - TensorFlow Lite
Explore TensorFlow Lite for deploying ML models on mobile and IoT devices. Learn about its architecture, conversion process, and optimization techniques for efficient on-device inference.
Inside TensorFlow - tf.Keras
Dive deeper into tf.Keras with creator Francois Chollet, exploring advanced topics like masking, dynamic layers, callbacks, and building successful models for enhanced deep learning capabilities.