marcotav/deep-learning
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
Jupyter Notebook
Stargazers
- achuthasubhashGUNTUR , INDIA
- ajankowski
- alexignar
- CHENQIDAN
- davftAzimut Investments
- developerabhi01AncienTech
- diamondabsolute
- DnanaDev
- eightysevenfive
- ersushantsood
- feinsteind78
- geraybos
- Hannah-Yao
- indrag49New Zealand
- irfnrdh@RuemaKarya
- joe-nanoDaveMemo Group
- JoiBai
- juduarte1
- kabartayCisco
- kazax-inc
- Kgs-MathabaPlatform45
- lucketItaly
- m-pedroAI, Machine Learning, AGI
- marcotavRio de Janeiro
- MGProgComp
- obrienwriteOBrienWrite
- OkroshiashviliGeorgia
- rsmathSalt Lake City
- shubhampachori12110095Somewhere in India
- stjordanisGreece
- timechild666
- trisongzGrowth Engine AI
- VatsalyaSharan
- webystherItaly
- yangyang14641Peking University
- yhpfNew York, New York