Install Tensorflow Object Detection From Scratch in 5 Steps - Python Deep Learning
Step-by-step guide to installing TensorFlow Object Detection API, covering Python, Visual Studio, CUDA, CUDNN, Protoc, and API setup for deep learning projects.
Real Time Sign Language Detection with Tensorflow Object Detection and Python - Deep Learning SSD
Learn to build a real-time sign language detection system using Tensorflow Object Detection and Python. Covers image collection, labeling, model training, and implementation for translating sign language in real-time.
Real Time Face Mask Detection with Tensorflow and Python - Custom Object Detection with MobileNet SSD
Learn to build a real-time face mask detector using TensorFlow and Python. Master image labeling, custom object detection, transfer learning, and implement a practical workflow for training and deployment.
Deep Reinforcement Learning Tutorial for Python
Learn to create OpenAI Gym environments, build deep learning models, and train reinforcement learning agents using Tensorflow, Keras, and Keras-RL in this hands-on tutorial for Python developers.
TensorFlow Tutorial - Model Subclassing with Keras - Part 8
Learn to build flexible TensorFlow models using Keras subclassing, including a ResNet-like model with skip connections. Gain advanced model creation skills beyond Sequential and Functional APIs.
AI Learns What to Do Next Using TensorFlow and Python
Learn to predict future events using TensorFlow and Python. Build LSTM models, preprocess data, and generate next best actions for practical applications like sales progression.
Batch Normalization in PyTorch - Adding Normalization to Convolutional Neural Network Layers
Learn to implement batch normalization in convolutional neural networks using PyTorch. Explore the benefits, create and compare networks, and optimize performance through hands-on coding and practical examples.
Listening at the Cocktail Party - Deep Neural Networks for Speech Separation
Explore deep neural networks for speech separation, focusing on data preparation, network architectures, and real-time implementation on embedded devices for smart audio applications.
Entity Embeddings for Categorical Variables
Learn to implement entity embeddings for categorical variables using TensorFlow/Keras, with a focus on converting the model to PyTorch. Practical application using Kaggle competition data.
CrypTFlow - Secure TensorFlow Inference
Secure TensorFlow inference system converting code to MPC protocols. Enables privacy-preserving machine learning on real-world neural networks with improved performance and security guarantees.
Fine-Tuning LLM with QLoRA on Single GPU - Training Falcon-7b on ChatBot Support FAQ Dataset
Learn to fine-tune Falcon-7b LLM on a custom dataset using QLoRA. Covers model loading, LoRA adapter implementation, fine-tuning, progress monitoring, and performance evaluation on chatbot support FAQs.
Fun with Machine Learning - Part 2 - With Gant Laborde - Learn With Jason
Explore facial recognition with face-api.js to add spooky masks to photos. Learn TensorFlow-powered techniques for Halloween-themed image manipulation and machine learning applications.
Fun With Machine Learning - Learn With Jason
Explore facial recognition with face-api.js in this Halloween-themed tutorial. Learn to add spooky masks to photos using TensorFlow-powered machine learning techniques.
U-Net Person Segmentation - How to Segment Persons in Images
Learn to implement and train a U-Net model for person segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.
Medical Polyp Image Segmentation with U-Net and TensorFlow Keras
Step-by-step guide to implement U-Net for medical polyp image segmentation using TensorFlow/Keras, covering data preprocessing, model architecture, training, and evaluation.
Build a Transformer for Language Classification in TensorFlow
Build a transformer-based sentiment classifier using HuggingFace's library in TensorFlow. Learn to download data, tokenize inputs, prepare datasets, define the model architecture, and train for multi-class sentiment analysis.
How to Build TensorFlow Pipelines with tf.data.Dataset
Learn to create efficient input pipelines for machine learning using TensorFlow's tf.data.Dataset API, enhancing data processing and model performance.
Machine Learning with TensorFlow Object Detection Running on Docker
Explore TensorFlow Object Detection API implementation using Docker, covering image creation, dependencies, and practical analysis of object detection in pictures.
Stoic Philosophy Text Generation with TensorFlow
Learn to build a RNN text generator using TensorFlow and Python, focusing on Stoic philosophy texts. Explore key components and techniques for creating AI-generated philosophical content.
Transfer Learning with TensorFlow - Live Coding and Explanation
Comprehensive live coding session on transfer learning with TensorFlow, covering model reuse, data processing, CNN architectures, and performance optimization techniques for efficient deep learning.
Convolutional Neural Networks with TensorFlow 2022
Comprehensive live-coding tutorial on Convolutional Neural Networks using TensorFlow, covering data preparation, model architecture, optimization techniques, and practical applications in image recognition and object detection.