At Learnopencv.com, we have adopted a mission of spreading awareness and educating a global workforce in Artificial Intelligence. Taking a step further in that direction, we have started creating tutorials for getting started in Deep Learning with Keras.
In this post, we provide a 30,000 feet view of Neural Networks. The post is for absolute beginners who are looking to get started with neural networks.
Getting Started:Learn the basics of Neural Network Toolbox Tutorials (1)Try Deep Learning in 10 Lines of MATLAB Code:Learn how to use deep learning to identify objects on a live webcam with the alexnetpretrainednetwork clc;clearall;closeall;camera=webcam;% Connect to the cameranet=alexnet;% ...
Getting Started with YOLO v2 The you-only-look-once (YOLO) v2 object detector uses a single stage object detection network. YOLO v2 is faster than two-stage deep learning object detectors, such as regions with convolutional neural networks (Faster R-CNNs). The YOLO v2 model runs a deep le...
Getting Started A better training and inference performance is expected to be achieved on Intel®CPUs with MXNet built withIntel®oneDNN. Once user has installed MXNet package, he can start a simple MXNet Python* code with a single convolution layer and verify if oneDNN backend works....
NVIDIA之AI Course:Getting Started with AI on Jetson Nano—Class notes(三) Notice The original text comes from NVIDIA-AI Course. This article only provides Chinese translation. 目录 Image Classification AI And Deep Learning ...
Getting Started with a Raspberry Pi 3 Computer Introduction Introducing Raspberry Pi What's with the name? Why Python? Python 2 and Python 3 Which version of Python should you use? The Raspberry Pi family – a brief history of Pi Which Pi to choose? Connecting to Raspberry Pi Getting ready...
For people getting started with deep learning, we really likeKeras. Keras is a Python library for constructing, training, and evaluating neural network models that support multiple high-performance backend libraries, includingTensorFlow,Theano, andMicrosoft’s Cognitive Toolkit. TensorFlow is the default...
Source:A Practical Guide to Convolutional Neural Networks (CNNs) with Keras On the other hand, the number of neurons in the output layer is equal to the number of labels i.e. 10 (digits from 0 to 9). You have the option to choose the number of neurons in the hidden layers. Generall...
When I started to code neural networks, I ended up using what everyone else around me was using. TensorFlow. Breakthrough Universal Accelerator for Efficient Video, AI, and Graphics But recently, PyTorch has emerged as a major contender in the race to be the king of deep learning frameworks....