校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
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Updated
Oct 26, 2024 - C++
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Building Convolutional Neural Networks From Scratch using NumPy
Evaluation of the CNN design choices performance on ImageNet-2012.
Represent trained machine learning models as Pyomo optimization formulations
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Covid-19 detection in chest x-ray images using Convolution Neural Network.
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Implementation of key concepts of neuralnetwork via numpy
Convolutional neural network for classification of animal images on Animal-10 dataset
An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
A small walk-through to show why ReLU is non linear!
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.
I have prepared a Deep Convolutional Generative Adversarial Networks here.
An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using neural networks
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