Computer Vision Using Go and OpenCV 3
Explore computer vision applications using GoCV, combining Go and OpenCV. Learn to build advanced IoT solutions with face tracking, motion detection, and drone control using Tensorflow.
JavaScript and Artificial Intelligence
Explore AI applications using JavaScript, covering board games, genetic algorithms, neural networks, and machine learning for browsers and Node.js environments.
Deep Learning in JS
Explore AI and deep learning using deeplearn.js. Understand how these systems learn, think, and shape our digital interactions. Gain insights into the architecture of emerging artificial minds.
Laying the Foundation for Deep Learning
Explore the fundamentals of deep learning and its potential impact on technology with insights from Airbnb's Mike Curtis at Collision Conference.
TensorFlow in Three Sentences
Explore TensorFlow's capabilities, limitations, and applications in AI. Learn key concepts, required knowledge, and practical methods for tackling computer vision and natural language processing tasks.
Networks Are Like Onions - Practical Deep Learning with TensorFlow
Hands-on tutorial on building neural networks with TensorFlow for computer vision and NLP tasks. Learn key deep learning concepts and gain practical experience in shaping network architectures.
Deep Learning with CNTK and F#
Explore deep learning using Microsoft's CNTK and F#. Learn neural network concepts, train models, and integrate them into .NET applications for tasks like computer vision and speech recognition.
Deep Learning with TensorFlow
Interactive TensorFlow session: build deep learning models from basics to advanced concepts. Hands-on approach to creating and using models in applications, suitable for beginners and experienced developers alike.
Deep Learning with CNTK and F#
Explore deep learning with CNTK and F# in .NET, covering neural networks, model training, and practical applications in computer vision and language processing.
Not a Magic - What to Expect from Machine Learning Projects
Practical insights on implementing machine learning projects, covering data handling, algorithm selection, training, evaluation, and deployment challenges in organizational settings.
Writing a Neural Net from Scratch
Learn to build a neural network for image recognition from scratch in C#, covering key concepts like gradient descent and backpropagation without complex math or external libraries.
Deep Learning in the World of Little Ponies
Explore computer vision and image classification using deep learning techniques to identify "My Little Pony" characters, with hands-on examples in Keras and Python.
Deep Learning with TensorFlow
Explore TensorFlow's fundamentals and create deep learning models through interactive discussions. Gain practical skills to develop and implement AI in your applications.
Artificial Intelligence - Our Journey Towards Singularity
Explore AI's journey towards singularity, covering machine learning, deep learning, image recognition, generative AI, and natural language processing. Gain insights into current progress and future challenges.
Deep Learning with PyTorch
Comprehensive introduction to deep learning using PyTorch, covering fundamentals, computer vision applications, and practical model creation for AI enthusiasts and developers.
A Practical Guide to Deep Learning
Practical introduction to computer vision and deep learning, covering neural network programming, training, and refinement techniques for future projects.
Deep Learning in the World of Little Ponies
Explore computer vision and deep neural networks to build custom image classifiers, with a fun twist using "My Little Pony" characters as examples.
Recent Solutions Using Deep Learning Models - The How and Why
Explore recent deep learning applications across industries, examining how neural networks solve complex problems and generate predictions from massive datasets.
How to Use ML.NET to Write Crushing Metal Riffs
Explore deep learning with ML.NET to generate metal riffs. Learn about neural networks, RNNs, and guitar tablatures while discovering how to apply machine learning to music composition.
Deep Learning in Microsoft Azure - CNTK, CaffeOnSpark and Tensorflow
Explore Microsoft's approach to Deep Learning using Cognitive Toolkit, Tensorflow, and CaffeOnSpark in Azure, understanding its business and technical benefits.
Deep Learning in the World of Little Ponies
Explore computer vision and deep learning techniques to build custom image classifiers, using "My Little Pony" characters as an engaging example for practical application.