Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD is the accompanying book for this course. It is also freely available as a series of Jupyter Notebooks. Practical Deep Learning for
Deep Learning in Neural Networks - This technical report provides an overview of deep learning and related techniques with a special focus on developments in recent years. 主要看点是深度学习近两年(2012-2014)的进展情况。 Tutorials UFLDL Tutorial 120 Deep Learning Tutorial from Stanford:斯坦福的官方Tuto...
DeepLearning Tutorial 一. 入门资料 完备的 AI 学习路线,最详细的中英文资源整理 ⭐ AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NL Machine-Learning 数学基础 矩阵微积分 机器学习的数学基础 CS229线性代数与概率论基础 机器学习基础 快速入门 机器学习算法地图 ...
in-depth learning became essential for machine learning practitioners and even for many software engineers. This book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start with the basics of deep learning and quickly move on to...
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning). game deep-learning deep-reinforcement-learning Updated Aug 7, 2024 Python yandexdataschool / Practical_RL Star 6.2k Code Issues Pull requests A course in reinforcement learning in the wild reinforcement-learning deep-learnin...
Captions with ResNet and LSTM How Image Captioning Works image captioning Image Captioning Applications Image Captioning Pipeline Explained image captioning resnet lstm pytorch implementation Image Captioning using ResNet and LSTM Practical Image Captioning Tutorial PyTorch ResNet and LSTM for Image ...
The source code for this tutorial can be found in thisgithub repository. 1. Problem Definition In this tutorial, we will be using a dataset fromKaggle. The dataset is comprised of 25,000 images of dogs and cats. Our goal is to build a machine learning algorithm capable of detecting the ...
Better Deep Learning by Jason Brownlee Better Deep Learning Train Faster, Reduce Overfitting, and Make Better Predictions by Jason Brownlee 26 step-by-step lessons, 575 pages. quotes from papers and books. step-by-step tutorial projects. 深度学习神经网络已经变得易于定义和拟合,但仍难以配置。 在这...
Get Practical Data Science Knowledge Here Explore Program Why is Fine-Tuning Important? Fine-tuning holds significance within machine learning due to a variety of compelling factors. A selection of these reasons is outlined as follows: Data Efficiency: Fine-tuning allows for effective model adaptatio...
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