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有部分评论说旋律提取器是在随机生成一段MIDI，这或许是之前模型的局限，但我们从来不随机生成MIDI，所有的MIDI数据，都是AI经过模型预测后的结果。 训练一个优秀的模型并非易事，如果模型本身就不够优秀，预测后的数据就很可能给人一种随机的感觉。 现在，我们通过新的神经网络计算方法，训练了一个新的较为优秀的模型，感谢TensorFlow为此模型的训练提供了不少的快捷之处。 通过旋律提取器，你可以从任意音乐文件，甚至是一段人声录音提取其对应的旋律。 哼一首小曲，然后提取旋律，导出MIDI，这甚至可以为你的音乐创作提供一定的快捷。 尽管我们很努力的采用最新最有效...

The Modest Tree Tech Companion App introduces a technologically advanced and integrated way to build your digital database. Combining AR object tracking with an advanced image categorizer, this application will allow you to build an integrated and intelligent database of the assets you encounter during your maintenance and operational processes. Key application features: Image Categorization - The Tech Companion app offers a sophisticated and streamlined approach to image categorization. Technicians use image markup capabilitie...

这是一个受 Google Tensorflow 的 Deep playground 启发而制作的应用。本程序大量代码都借鉴了开源项目 Deep playground 。 本程序致力于普及神经网络、人工智能的相关知识。通过本程序可以直观地感受到神经网络训练过程中的变化，包括连接的强弱、每个结点负责识别的特征和最终输出等图像等。 开源地址：https://github.com/ypwhs/NNPlayground_iPad

Creating original training data for Image Classification machine learning models just got a little easier! ML Trainer allows developers to quickly capture and export thousands of images to the Photos app, allowing every image to be imported with iCloud or the built in Image Capture app on Mac. Press the Scan button to capture a preset amount of images as you move closer to or pivot around your subject, or Tap the Camera button to capture a single picture. Toggle the Flashlight to improve results in low light conditions, and tap th...

龙虎榜AI量化打板主要功能 龙虎榜以打破技术不对称、信息不公平为使命，以科技、数据赋能投资者；在新科技浪潮的驱动下，龙虎榜借助新的算力工具和AI大模型不断提升数据加工和分析能力，构建更精准有效的投资决策机制，增强每一位用户的获得感，在自研的量化AI大模型平台上构架新世代的股市服务生态。 贾维斯： 自出洞来无敌手，天下算法我独有。本算法属于算法中的算法，精选中的精选，自2015年谷歌阿尔法狗诞生之时就开始研发，历时8年，终于大成。本算法背后有着惊人的逻辑，毫不客气的说，它已经具有一定意义的自我意识，最大的优点在于它能够将其个股股性与相应的板块以及...

Learn Deep Learning with Python 3 app introduces the field of deep learning using Python and the powerful Keras library. As you move through this app, you’ll build your understanding through intuitive explanations, and clear examples. You’ll quickly pick up the skills you need to start developing deep-learning applications. Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms. This app contains all the basic to advanced concepts of deep learning l...

AI and Machine Learning For Dummies PRO: Your AI Mastery Accelerator. Unlock the Future of AI with Comprehensive, Expert-Curated Content. Are you ready to dive deep into the world of Artificial Intelligence and Machine Learning? Our AI and Machine Learning For Dummies PRO app is your ultimate guide, designed to equip you with the knowledge and skills needed to excel in this rapidly evolving field. Key Features: Extensive Quiz Library: Over 600 quizzes covering cloud ML operations on AWS, Azure, and GCP, along with foundational ...

Use this App to learn about Machine Learning on GCP and prepare for the GCP Professional Machine Learning Engineer. Earning Google GCP Professional Machine Learning Engineer validates expertise in building, training, tuning, and deploying machine learning (ML) models on GCP. The App provides hundreds of quizzes and practice exams about: - Machine Learning Operation on GCP - Framing ML problems, - Architecting ML solutions, - Designing data preparation and processing systems, - Developing ML models, - Modelling - Data Engine...

采用手机内置的Vision，轻松将含有中文简体，繁体，英文的图片转成文字形式；采用基于Tensorflow的MLKit，轻松将含有拉丁字母系列的图片转成文字形式。拉丁字母系列涵盖了大多数语言，诸如英语，法语等等。 两种强大的文字转换引擎，能够在最大程度上保证识别出来的文字的准确性。 而文本拾取远不止于如此！ 除了采用两种引擎来确保从图片中识别出正确的文字以外，文本拾取更是精心设计了文稿与网址两种特别的功能。 采用文稿，可以将书籍段落，商务名片，图片里的精彩文字，等等一系列所能见到的精彩文本内容，都轻松以文稿的形式存入手机。 如果不嫌繁琐，您甚至可以将整个书...

Use this App to learn about Machine Learning on GCP and prepare for the GCP Professional Machine Learning Engineer. Earning GCP Professional Machine Learning Engineer validates expertise in building, training, tuning, and deploying machine learning (ML) models on GCP. The App provides hundreds of quizzes and practice exams about: - Machine Learning Operation on GCP - Framing ML problems, - Architecting ML solutions, - Designing data preparation and processing systems, - Developing ML models, - Modelling - Data Engineering -...