Hello TensorFlow: 3 Workshops to Get Started with TensorFlow 2.0
summary
Hands-on introduction to TensorFlow 2 and Keras using Google Colab: quick setup, a dense MNIST model that flattens 28×28 images to reach ~92–94% accuracy, and a convolutional network (Conv + MaxPool stacks) improving to the high‑90s with examples of misclassifications. Then use MobileNetV2 from TensorFlow Hub as a feature extractor with ImageDataGenerator to retrain on a 5‑class flower dataset reaching ~84% accuracy; notebooks, code, and saved model are provided.
AI-written summary · about
chapters (6)
- 0:00Introduction
- 23:51TensorFlow and Keras overview
- 1:16:45Image classification workshop
- 1:59:57Convolutional networks workshop
- 2:16:45Transfer learning with MobileNetV2
- 2:35:33Summary and resources
related talks
01h 29mHands-on introduction to Deep Learning with Keras and Tensorflow
32mGetting Started with TensorFlow 2.0
01h 06mDeep Learning with TensorFlow
01h 39mGoogle Colaboratory and Python: Deep Learning basics for CV tasks
01h 29mComputer Vision: An (Un?)Expected Journey, with Keras and Tensorflow
44mTensorflow, Tensorflow, What is it that you see?
57mHow to customize Machine Learning models the simple way
35mDeconstructing Deep Learning