BigGAN and Other Generative Models
Explore BigGAN and BigBiGAN generative models, their functionality in RunwayML, and learn about image reconstruction techniques in this informative video on advanced AI-powered image generation.
Build a Deep Learning Model That Can Lip Read Using Python and Tensorflow
Learn to create a deep learning model for lip reading using Python and TensorFlow in this comprehensive tutorial, covering data preparation, model architecture, and implementation techniques.
Building a Machine Learning Drowsiness Detector App with Sound Alerts
Build a ML drowsiness detector app with PyTorch YOLOv5 and Tkinter. Detect awake/drowsy states, play alerts for sleeping, and learn object detection implementation in a practical application.
Building a Neural Network with PyTorch - Coding Challenge
Learn to build a neural network using PyTorch in a fast-paced, 15-minute coding challenge. Follow along as the instructor attempts this task for the first time, offering insights and practical tips.
Exploring the New Hugging Face Diffusers Package - Diffusion Models With Python
Dive into Hugging Face Diffusers for Python, exploring diffusion models and their applications in deep learning. Gain hands-on experience with this powerful package for AI-driven image generation.
Build a Chrome Dino Game AI Model with Python - AI Learns to Play Dino Game
Develop a reinforcement learning AI model using Python and deep learning to master the Chrome Dino game, from environment setup to gameplay implementation.
Uncover What Deep CNNs Are Doing With Python and Tensorflow
Visualize CNN layer outputs using Python and TensorFlow to understand how computer vision models make predictions, with step-by-step guidance and code examples.
Sign Language Detection Tutorial with Tensorflow Object Detection
Learn to build a real-time sign language detection system using Python, OpenCV, and TensorFlow. Covers image collection, labeling, model training, and live detection implementation.
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 AI Hand Pose Estimation with Javascript, Tensorflow.js and React.js
Build a real-time hand pose estimation app using Javascript, TensorFlow.js, and React.js. Learn to set up a pre-trained model, use webcam input, and detect hand landmarks for gesture recognition applications.
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.
Build a Face Mask Detector with Watson and Python
Learn to create a face mask detector using Watson Visual Recognition, Python, and OpenCV. Capture images, visualize detections, and train custom object detection models in this hands-on tutorial.
Building Our First Deep Learning App From Scratch - Hello MNIST
Develop a deep learning app for digit recognition using MNIST dataset, covering model creation, app development, and publishing on the Google Play Store.
Mean Average Precision Explained and PyTorch Implementation
Learn to calculate and implement Mean Average Precision (mAP) for evaluating object detection models, with a detailed explanation and hands-on PyTorch implementation from scratch.
Intersection Over Union Explained and PyTorch Implementation
Comprehensive guide to Intersection over Union (IoU) in object detection, covering theory and practical implementation in PyTorch. Ideal for understanding this crucial metric.
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.
Pytorch Seq2Seq with Attention for Machine Translation
Build a Seq2Seq model with Attention in PyTorch for German-to-English machine translation, applying it to the Multi30k dataset and learning from scratch.
Pytorch Text Generator With Character Level LSTM
Learn to build a character-level LSTM text generator in PyTorch, focusing on generating new baby names. Explore practical implementation of RNNs for creative text generation tasks.
Pytorch ResNet Implementation from Scratch
Learn to implement ResNet models (ResNet50, ResNet101, ResNet152) from scratch using PyTorch. Gain insights into the architecture and practical coding techniques for deep learning.
PyTorch GoogLeNet - InceptionNet Implementation from Scratch
Learn to implement GoogLeNet/InceptionNet from scratch in PyTorch, with explanations of network architecture and step-by-step coding guidance.