DeepLearning.AI TensorFlow Developer Professional Certificate from Coursera TensorFlow: Data and Deployment from Coursera Getting Started with TensorFlow 2 from Coursera TensorFlow: Advanced Techniques from Cou
Deeplearning.ai videos on Coursera/YouTube youtube.com/channel/UCc 考试完全基于编写Python代码,但是如果你想知道所编写代码的幕后是什么(线性代数,演算),可以随时暂停去学习。例如,如果你不确定什么是小批量梯度下降(mini-batch gradient descent),请搜索“ deeplearning.ai小批量梯度下降”。 TensorFlow documentatio...
🎥 Watch: How I passed the TensorFlow Developer Certification exam (and how you can too) Go through the TensorFlow in Practice Specialization on Coursera Read through the second half of Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow 2nd Edition What this course is missing Deep...
it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry...
deeplearning.ai 教程地址:https://www.coursera.org/learn/introduction-tensorflow Udacity 教程地址:https://cn.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187 2.0 正式版有哪些更新 主要特性和改进 TensorFlow 2.0 重点关注易用性,更新了以下主要内容: ...
🎥Watch:How I passed the TensorFlow Developer Certification exam (and how you can too) Go through theTensorFlow in Practice Specialization on Coursera Read through the second half ofHands-On Machine Learning with Scikit-Learn, Keras & TensorFlow 2nd Edition ...
AI代码解释 importtensorflowastf from tensorflow.keras.datasetsimportmnist #加载数据(x_train,y_train),(x_test,y_test)=mnist.load_data()# 数据预处理 x_train=x_train.reshape(-1,28*28)/255.0x_test=x_test.reshape(-1,28*28)/255.0# 构建模型 ...
Coursera: founded by ML expert Andrew Ng, lists free online courses for a lot of fields (including Python andMachine Learning) Deeplearning.ai: a website dedicated to Deep Learning - also founded by Andrew Ng Deep Learning book: a free website accompanying the book "Deep Learning" by Ian ...
全书由简到难地讲述感知机模型、多分类神经网络、深层全连接网络、卷积神经网络、批量规范化方法、循环神经网络、长短时记忆网络、双向结构的BiGRU模型等神经网络模型的必要算法推导、实现及其实例,读者可直接动手调试和观察整个训练过程...本书共分为5篇:第1篇,介绍了学习准备、搭建开发环境、使用AI模型来识别图像;...
在这种情况下,对于绝大多数的 AI 开发者而言,利用 TensorFlow 自己亲手搭建一个图像识别模块,就成了一项最顺理成章的挑战。 为了帮助有志于此的开发者实现目标,也为了向那些亲手搭建过图像识别模块的技术达人提供一个与行业大牛交流、学习的机会,本次公开课 AI 研习社有幸邀请到才云科技(Caicloud.io)联合创始人...