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Course Notes: Introduction to Deep Learning with Keras
Course Notes
Use this workspace to take notes, store code snippets, or build your own interactive cheatsheet! The datasets used in this course are available in the datasets
folder.
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
# Import any packages you want to use here
Take Notes
Add notes here about the concepts you've learned and code cells with code you want to keep.
Chapter 2
Binary classification
This involves classification tasks with only two class or labels. To develop a binary classification model in Keras, follow this step:
model = Sequential()
Add layers
model.add(Dense(, input_shape(,), activattion = '')
Add your notes here
# Add your code snippets here