【2022】10大熱門精選資料科學 TensorFlow線上課程推薦，值得你參考！

① 85 折 Python深度学习与Tensorflow2实战（2020新版）

tensorflow2版本实战

導師: 唐宇迪 唐

課程上次更新 1/2020

評分:4.3

學生:
375 ↑

時長:17小時 46分

售價

3,190 元

特價

490元

👉 課程資訊

透過這堂課，你將學會👇

• Tensorflow基础操作
• Tensorflow核心Api
• 数据集制作方法
• 图像数据与文本数据预处理实战
• 图像识别模型构建
• 文本分类模型构建
• 神经网络基础
• 卷积神经网络原理
• 递归神经网络
• 对抗生成网络架构及其实战
• CycleGan图像融合
• 基于Tensorflow构建各大经典网络模型
• 基于TF的开源项目实战

② 61 折 動手做非監督式機器學習：使用TensorFlow 2.0

實作各種學習模型的實務應用程式，來學習Python非監督式學習吧！

導師: 博碩文化 DrMaster

課程上次更新 6/2020

評分:4.4

學生:
49 ↑

時長:2小時 30分

售價

990 元

特價

390元

👉 課程資訊

透過這堂課，你將學會👇

• TensorFlow 2.0
• 實作各種非監督式學習演算法
• 分群法Clustering
• PCA主成分分析
• DBN深度信念網絡
• GAN生成對抗網路

③ 86 折 Complete Guide to TensorFlow for Deep Learning with Python

Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques!

導師: Jose Portilla

課程上次更新 4/2020

評分:4.5

學生:
89186 ↑

時長:14小時 9分

售價

2,990 元

特價

430元

👉 課程資訊

透過這堂課，你將學會👇

• Understand how Neural Networks Work
• Build your own Neural Network from Scratch with Python
• Use TensorFlow for Classification and Regression Tasks
• Use TensorFlow for Image Classification with Convolutional Neural Networks
• Use TensorFlow for Time Series Analysis with Recurrent Neural Networks
• Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
• Learn how to conduct Reinforcement Learning with OpenAI Gym
• Create Generative Adversarial Networks with TensorFlow
• Become a Deep Learning Guru!

④ 85 折 Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Learn to use Python for Deep Learning with Google’s latest Tensorflow 2 library and Keras!

導師: Jose Portilla

課程上次更新 3/2021

評分:4.7

學生:
30028 ↑

時長:19小時 11分

售價

2,790 元

特價

430元

👉 課程資訊

透過這堂課，你將學會👇

• Learn to use TensorFlow 2.0 for Deep Learning
• Leverage the Keras API to quickly build models that run on Tensorflow 2
• Perform Image Classification with Convolutional Neural Networks
• Use Deep Learning for medical imaging
• Forecast Time Series data with Recurrent Neural Networks
• Use Generative Adversarial Networks (GANs) to generate images
• Use deep learning for style transfer
• Generate text with RNNs and Natural Language Processing
• Serve Tensorflow Models through an API
• Use GPUs for accelerated deep learning

⑤ 85 折 Deep Learning with TensorFlow 2.0 [2021]

Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case

導師: 365 Careers,365 Careers Team

課程上次更新 11/2020

評分:4.7

學生:
18615 ↑

時長:5小時 55分

售價

2,790 元

特價

430元

👉 課程資訊

透過這堂課，你將學會👇

• Gain a Strong Understanding of TensorFlow – Google’s Cutting-Edge Deep Learning Framework
• Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
• Set Yourself Apart with Hands-on Deep and Machine Learning Experience
• Grasp the Mathematics Behind Deep Learning Algorithms
• Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules
• Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization
• Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding

⑥ 85 折 A Complete Guide on TensorFlow 2.0 using Keras API

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

導師: Hadelin de Ponteves,Luka Anicin,Ligency Team

課程上次更新 7/2021

評分:4.5

學生:
52009 ↑

時長:13小時 5分

售價

2,790 元

特價

430元

👉 課程資訊

透過這堂課，你將學會👇

• How to use Tensorflow 2.0 in Data Science
• Important differences between Tensorflow 1.x and Tensorflow 2.0
• How to implement Artificial Neural Networks in Tensorflow 2.0
• How to implement Convolutional Neural Networks in Tensorflow 2.0
• How to implement Recurrent Neural Networks in Tensorflow 2.0
• How to build your own Transfer Learning application in Tensorflow 2.0
• How to build a stock market trading bot using Reinforcement Learning (Deep-Q Network)
• How to build Machine Learning Pipeline in Tensorflow 2.0
• How to conduct Data Validation and Dataset Preprocessing using TensorFlow Data Validation and TensorFlow Transform.
• Putting a TensorFlow 2.0 model into production

⑦ 86 折 TensorFlow Developer Certificate in 2021: Zero to Mastery

Pass the TensorFlow Developer Certification Exam by Google. Become an AI, Machine Learning, and Deep Learning expert!

導師: Andrei Neagoie,Daniel Bourke

課程上次更新 7/2021

評分:4.7

學生:
10177 ↑

時長:63小時 18分

售價

2,690 元

特價

390元

👉 課程資訊

透過這堂課，你將學會👇

• Learn to pass Google’s official TensorFlow Developer Certificate exam (and add it to your resume)
• Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
• Complete access to ALL interactive notebooks and ALL course slides as downloadable guides
• Increase your skills in Machine Learning and Deep Learning, to test your abilities with the TensorFlow assessment exam
• Understand how to integrate Machine Learning into tools and applications
• Learn to build all types of Machine Learning Models using the latest TensorFlow 2
• Build image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
• Using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy

⑧ 86 折 TensorFlow 2.0 Practical

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects

導師: Dr. Ryan Ahmed, Ph.D., MBA,Mitchell Bouchard,Ligency Team

課程上次更新 2/2021

評分:4.6

學生:
4823 ↑

時長:11小時 44分

售價

2,690 元

特價

390元

👉 課程資訊

透過這堂課，你將學會👇

• Master Google’s newly released TensorFlow 2.0 to build, train, test and deploy Artificial Neural Networks (ANNs) models.
• Learn how to develop ANNs models and train them in Google’s Colab while leveraging the power of GPUs and TPUs.
• Deploy ANNs models in practice using TensorFlow 2.0 Serving.
• Learn how to visualize models graph and assess their performance during training using Tensorboard.
• Understand the underlying theory and mathematics behind Artificial Neural Networks and Convolutional Neural Networks (CNNs).
• Learn how to train network weights and biases and select the proper transfer functions.

⑨ 85 折 TensorFlow 2.0 Practical Advanced

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects

導師: Dr. Ryan Ahmed, Ph.D., MBA,Mitchell Bouchard,Ligency Team

課程上次更新 2/2021

評分:4.7

學生:
4962 ↑

時長:12小時 36分

售價

2,790 元

特價

430元

👉 課程資訊

透過這堂課，你將學會👇

• Build, train, test and deploy Advanced Artificial Neural Networks (ANNs) models using Google’s newly released TensorFlow 2.0.
• Understand the underlying theory and mathematics behind Generative Adversarial Neural Networks (GANs).
• Apply revolutionary GANs to generate brand new images using Keras API in TF 2.0.
• Understand the underlying theory and mathematics behind Auto encoders and Variational Auto Encoders (VAEs).
• Train and test Auto-Encoders to perform image compression and de-noising using Keras API in TF 2.0.
• Understand the underlying theory and mathematics behind DeepDream algorithm. Develop, train, and test State-of-the art DeepDream algorithm to create AI-based art masterpieces using Keras API in TF 2.0!

⑩ 57 折 Crash Course in Deep Learning with Google TensorFlow|Python

Google TensorFlow : Learn, Implement Deep Learning & master one of the cornerstone skills of a Data Scientist.

導師: UNP United Network of Professionals

課程上次更新 3/2019

評分:4.8

學生:
8654 ↑

時長:3小時 47分

售價

990 元

特價

430元

👉 課程資訊

透過這堂課，你將學會👇

• TensorFlow installation
• Different TensorFlow Environments
• Computation graphs
• Artificial Neural Networks (ANN)
• Convolutional Neural networks (CNN)
• Regularization in Neural Networks – Dropout and Max Pooling
• Keras & TfLearn
• Building a custom Image Classifier on ANY Dataset
• Extensive Assignments :Test your Understanding & Periodic Updates on the Subject
• Transfer learning and how to use Google inception

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