TensorFlow Courses and Certifications

Coursera

Basic Image Classification with TensorFlow

848 ratings at Coursera

Build, train, and evaluate a neural network with Keras on a TensorFlow backend to classify hand-written digit images with high accuracy.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

Device-based Models with TensorFlow Lite

655 ratings at Coursera

Convert and optimize TensorFlow models to TensorFlow Lite, then run them with the Lite Interpreter in Android and iOS apps, on Raspberry Pi and microcontrollers.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced Computer Vision with TensorFlow

535 ratings at Coursera

Build object detection and image segmentation models in TensorFlow: apply transfer learning with regional-CNN and ResNet-50, implement U-Net and Mask R-CNN, and interpret predictions with saliency maps.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Data Pipelines with TensorFlow Data Services

536 ratings at Coursera

Perform ETL with TensorFlow Data Services: load datasets, build train/validation/test splits, remove input bottlenecks, and publish your own datasets to TensorFlow Hub.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced Deployment Scenarios with TensorFlow

512 ratings at Coursera

Deploy TensorFlow models across four scenarios: serve inference over the web with TensorFlow Serving, reuse models from TensorFlow Hub, evaluate with TensorBoard, and retrain via federated learning.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Complete Tensorflow 2 and Keras Deep Learning Bootcamp

8899 ratings at Udemy

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

• Udemy
• 19 hours 13 minutes
• Self-Paced
• Paid Course

Machine Learning with Python

22 ratings

Build neural networks with TensorFlow: train classification and clustering models, CNNs, RNNs for sentiment analysis, and Q-learning agents, plus projects like an image classifier.

• freeCodeCamp
• 300 hours
• Self-Paced
• Free Certificate

Deep Learning with TensorFlow 2.0

4876 ratings at Udemy

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

• Udemy
• 5 hours 55 minutes
• Self-Paced
• Paid Course

Generative Deep Learning with TensorFlow

317 ratings at Coursera

Build generative models in TensorFlow: neural style transfer, DNN and CNN autoencoders for denoising, variational autoencoders for anime faces, and GANs that generate faces.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Probabilistic Deep Learning with TensorFlow 2

109 ratings at Coursera

Build probabilistic deep learning models with TensorFlow Probability: distribution objects, trainable probabilistic layers, Bayesian CNNs, bijectors and normalising flows, and variational autoencoders for generating images.

• Coursera
• 5 weeks, 11 hours a week
• Self-Paced
• Paid Course

TensorFlow

TensorFlow Lite 视频系列教程 - 从入门到实践应用

掌握TensorFlow Lite移动端机器学习开发，从模型制作到应用部署，包含图像识别、对象检测和模型优化技术。

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Coursera

Fine Tune BERT for Text Classification with TensorFlow

212 ratings at Coursera

Fine-tune a BERT model for text classification: tokenize and preprocess data, build tf.data input pipelines, then train and evaluate with TensorFlow 2 and TensorFlow Hub.

• Coursera
• 2 hours 51 minutes
• Self-Paced
• Paid Course

Coursera

Transfer Learning for NLP with TensorFlow Hub

183 ratings at Coursera

Fine-tune pre-trained text embedding models from TensorFlow Hub, build and compare several text classification models, and visualize performance metrics in TensorBoard.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Coursera

Tweet Emotion Recognition with TensorFlow

174 ratings at Coursera

Build and train a recurrent neural network in TensorFlow to classify thousands of tweets into six emotions, a multi-class natural language processing problem.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Coursera

Object Localization with TensorFlow

117 ratings at Coursera

Build and train a convolutional neural network with TensorFlow's Keras API that both classifies emojis and predicts their position in images through two model outputs.

• Coursera
• 2 hours
• Self-Paced
• Paid Course