Study Session Anki Sklearn Cross Val Score and Tensorflow Random, Seed, Shuffle NDIM
This is just a study session of me reviewing my flashcards and going over the code in Google Colab. Tensorflow and Scikit-learn. A very basic neural network with Tensorflow and Cross Val Score with Scikit-Learn.
I'm planning on studying more pandas, scikit-learn and tensorflow.
In this video, I go over my custom flashcards created with Anki. Anki is useful because it focuses on Spaced Repetition.
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☑️ Github for code for Code in Video:
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☑️ Tensorflow Course Mentioned in the Video:
https://www.udemy.com/course/tensorfl...
nn_model = tf.keras.models.Sequential([
tf.keras.Dense(10),
tf.keras.Dense(100),
tf.keras.Dense(100)
])
nn_model.compile(loss = 'binary_corssentropy',
optimizer = tf.keras.optimizers.Adam(),
metrics=['accuracy'])
history = nn.model.fit(train_data,epochs=5)
tensor = tf.constant([[[1,2,3],
[4,5,6]],
[[7,8,9],
[10,11,12]],
[[13,14,15],
[16,17,18]]])
tensor.ndim
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