patrikkj / online-courses Goto Github PK

Linear Regression
Logistic Regression
Regularization
Neural Networks: Representation
Neural Networks: Learning
Advice for Applying Machine Learning
Machine Learning System Design
Support Vector Machines
Unsupervised Learning
Dimensionality Reduction
Anomaly Detection
Recommender Systems
Large Scale Machine Learning
Application Example: Photo OCR

Bayesian Network (Directed Models)
Template Models for Bayesian Networks
Structured CPDs for Bayesian Networks
Markov Networks (Undirected Models)
Decision Making
Knowledge Engineering

Introduction to Deep Learning
Neural Networks Basics
Shallow Neural Networks
Deep Neural Networks

Practical aspects of Deep Learning
Optimization algorithms
Hyperparameter tuning
Batch Normalization
Programming Frameworks
TensorFlow

Error diagnostics
Promising directions for error reduction
Mismatched Training/Test sets
Comparing/surpassing human-level performance
End-to-end learning
Transfer learning
Multi-task learning

Foundations of Convolutional Neural Networks
Deep convolutional models
Residual Networks
Detection algorithms
Car detection with YOLO
Art generation with Neural Style Transfer
Face Recognition

Recurrent Neural Networks
Character-Level Language Modeling
Long Short-Term Memory
Natural Language Processing
Word Embeddings
Attention mechanism
Neural Machine Translation
Trigger word detection

TensorFlow, Python and Google Colaboratory
Computer Vision in TensorFlow
Enhancing Vision with CNNs
Real-world image classification

Exploring larger datasets
Image augmentation
Transfer Learning
Multiclass classification

Word based encodings
Subwords text encoding
Tokenization
Word embeddings
Sequence models
LSTMs
Word-based RNN text generation
Character-based RNN text generation

Evaluation metrics
Forecasting
Data synthesis
DNNs for Time Series
RNNs for Time Series
Time Series convolutions
Bi-directional LSTMs

Introduction to TensorFlow.js
Image Classification in the browser
Converting models to TensorFlow.js
Transfer Learning with Pre-Trained Models

TensorFlow Lite components & architecture
Persistence, performance and optimizations
Model conversion and Transfer Learning
Building TF models on Andriod
Building TF models on iOS
Building TF models on embedded systems

Introduction to TFDS
Data input pipelines
Feature Column API
Data transformations
Data loading
Parallelism APIs
Publishing datasets

Deployment using TFX
TensorFlow Serving
TensorFlow Hub
Transfer learning using TF Hub
Federated Learning