AI & Robotic
Showing 205–216 of 752 results
Deep Dive Into Generative AI with Azure OpenAI
Learn Azure OpenAI: architecture, OpenAI Studio, model customization and deployment, text and image generation, integration, privacy and compliance issues, and more.
Deep Dive into Object Detection with YOLO
Explore advanced techniques in object detection using the YOLO algorithm, focusing on real-time applications and implementation strategies.
Deep Learning
Explore deep learning techniques and frameworks for building and training neural networks.
Deep Learning : The Subset of Machine Learning
Deep Learning, What is deep learning ?, How deep learning works, How do artificial intelligence, machine learning, neural networks, and deep learning relate ?, Deep learning applications and more
Deep Learning & Neural Networks Python Keras For Dummies
Deep Learning and Data Science using Python and Keras Library - Beginner to Professional - The Complete Guide
Deep Learning for Android Apps
This course aims to equip you with the techniques to train the DL models, convert them to the TF Lite format, and deploy these models into your Android apps.
Deep Learning for Image Segmentation with Python and Pytorch
Image Semantic Segmentation for Computer Vision with PyTorch and Python to Train and Deploy YOUR own Models (UNet, DeepLab)
Deep Learning for Images with PyTorch
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Deep Learning for Text with PyTorch
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Deep Learning Topics with Computer Vision and NLP
Explore advanced deep learning topics that integrate computer vision and natural language processing.
Deep Learning using Keras – Complete & Compact Dummies Guide
Computer Vision with CNN: Basic Python, Numpy, Pandas, Matplotlib, Keras Text MLP, VGGNet, ResNet, Custom Model in Colab
Deep Learning with JAX and Flax
Explore deep learning techniques using JAX and Flax, focusing on efficient model training and deployment with an emphasis on performance and scalability.