Învățarea profundă este un subset de învățare automată, iar învățarea automată este un subset de AI, care este un termen umbrelă pentru orice program de calculator care face ceva inteligent. Află mai multe despre subiect în cursul Artificial Neural Networks, Machine Learning, Deep Thinking Advanced.
– Developers
– Recapitulare din cursul anterior – Machine Learning de bază
– Fundamente de imagine
– Rețele neuronale convoluționale
– Transfer de învățare
– Localizare obiect
– Implementarea Machine Learning
Nu sunt cerințe preliminare precise.
Recap from previous course – Basic ML
– Machine Learning
– Neural Networks
– Deep Learning
Image Fundamentals
– Pixels
– Image Channels and channel ordering
– Scale
– OpenCV library
– Reading, writing images
– Opening/writing a video stream (Webcam, etc)
Convolutional Neural Networks
– Recap
– Batch Normalization
– Drop out
– Saving, loading a model
– Restarting training
– TensorBoard
Transfer Learning
– Popular datasests (ImageNet, etc)
– Existing CNNs for Image Classification (Inception, ResNet, etc)
– Freezing layers
– Transfer Learning on our own classification problem
Object Localization
– Problem definition
– Popular datasets (Coco, etc)
– Existing frameworks (YOLO, etc)
Deploying ML
– Protobuf, flatbuffers, JSON, gRPC
– Remote Procedure Call
– TensorFlow RESTful API
Artificial Neural Networks, Machine Learning, Deep Thinking Advanced
