Let's start with implementing your first neural network using Python and Keras on a Jupyter Notebook. In this section, we will evaluate the performance of the network we trained in the prev ious lesson.
Previous lesson: [ Ссылка ]
Next lesson: [ Ссылка ]
📙 Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here 👉 [ Ссылка ]
👩💻 All course code is in the course repository: [ Ссылка ]
RESOURCES:
🏃♀️ Data Science Kick-starter mini-course: [ Ссылка ]
🐼 Pandas cheat sheet: [ Ссылка ]
📥 Streamlit template (updated in 2023, now for $5): [ Ссылка ]
📝 NNs hyperparameters cheat sheet: [ Ссылка ]
📙 Fundamentals of Deep Learning in 25 pages: [ Ссылка ]
COURSES:
👩💻 Hands-on Data Science: Complete your first portfolio project: [ Ссылка ]
🌎 Website - [ Ссылка ]
🐥 Twitter - [ Ссылка ]
