Challenge 11: 3in1
sgd_2 = SGD(learning_rate=0.001, momentum=0.9, nesterov=True)
model_2.compile(loss='categorical_crossentropy', optimizer=sgd_2, metrics=['accuracy'])
Nutella
hi
(Yesterday, 4:54 PM)MrGlad Wrote: sgd_2 = SGD(learning_rate=0.001, momentum=0.9, nesterov=True)
model_2.compile(loss='categorical_crossentropy', optimizer=sgd_2, metrics=['accuracy'])

ChatGPT for debugging?
They thought she did it intentionally and that she was making excuses a drink was spilling on her
tuff
Demystifying
hj
(Yesterday, 4:55 PM)Silky Silver Wrote: They thought she did it intentionally and that she was making excuses a drink was spilling on her

Frown. A lot of the internet is toxic tbh
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i am bike
People can be really judgmental
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model_2 = base_model_2()
sgd_2 = SGD(learning_rate=0.001, momentum=0.9, nesterov=True)
model_2.compile(loss='categorical_crossentropy', optimizer=sgd_2, metrics=['accuracy'])

history_2 = model_2.fit(x_train, y_train,
batch_size=batch_size,
epochs=epochs,
verbose=1,
validation_data=(x_test, y_test),
callbacks=my_callbacks)
J
the internet is a wild wild place. sometimes it’s great to stop and smell the roses…or hike 1200 vertical feet to feel something lol
Big Brother Council is ALWAYS watching
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80 epochs
Man as much as I hate spamming competitions, I do enjoy the conversations
The Following 1 User Says Thank You to Dan-83 For This Useful Post:
  • MrGlad
1
Handrail
Ring
2


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