The Haskell Brain
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1: Course Introduction (5:29)
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Special Note: Tensorflow V1 and V2 (1:49)
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2: Installation and Dependency Setup (10:05)
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3: Tensor Basics (14:37)
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4: Simple Learning Algorithms (17:13)
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5: Tensors in Haskell (13:33)
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6: Learning Algorithms in Haskell (13:44)
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7: Organizing Our Model (4:44)
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8: Serializing with Cassava (6:14)
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9: Basic Neural Networks (10:09)
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10: Visualizing with TensorBoard (8:10)
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11: Logistic Regression (10:55)
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12: Convolution and Pooling (11:41)
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13: Grenade and Dependent Types (15:09)
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14: Course Conclusion (2:44)
