TensorFlow 2 in Action

Wokring Environment

conda create --name tf2 python=3.7
conda activate tf2
conda install pip numpy scipy pandas matplotlib ipython jupyter seaborn pillow h5py
pip install tensorflow-gpu==2.0 gdown

TensorFlow In Practice by deeplearning.ai

Introduction to TensorFlow

• simple house price prediction
• fashion mnist with simple neural network
• basic image convolution and pooling
• neural network with convoluions
• binary classification: horse or human
  • all images are synthesized with computer graphics.
  • ImageDataGenerator for managing dataset and feeding them into training pipeline in a systematic way.
• horse or human with validtation
  • add the validation dataset in the training process.
• happy or sad

Convolutional Neural Networks in TensorFlow

• Cats or Dogs - Filtered
• Cats or Dogs - Full
• Cats or Dogs - Augmented
• Horse or Human -Augmentation
• Horse or Human - InceptionV3
• Transfer Learning
• Transfer Learning: Human or Horse
• Rock Paper Scissor
• Sign Lanugage Classifier

Natural Language Processing in TensorFlow

• BBC News
• IMDB Review
• BBC excercise
• IMDB Subworkds 8k with Single Layer LSTM
• IMDB Subworkds 8k with Multi Layer LSTM
• IMDB Subworkds 8k with 1D Convolutional Layer
• Sarcasm Bidirectional LSTM
• Sarcasm 1D Convolutional Layer
• IMDB Review GRU
• Exploring Overfitting
• Shapespeare

Sequences, Time Series and Prediction

• Introduction To Time Series
• Statistical Forecasting
• Synthetic Data Series
• Windowed Dataset
• Single Layer Neural Network
• DNN
• Excercise
• RNN
• LSTM
• Excercise
• LSTM
• Sunspot
• Daily Temperature