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02. Introduction-tn-CrUTkCUc.mp4
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7.54 MB
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03. Classsification Example-Dh625piH7Z0.mp4
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2.07 MB
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04. Classification Example-46PywnGa_cQ.mp4
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1.62 MB
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05. Linear Boundaries-X-uMlsBi07k.mp4
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3.85 MB
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06. 09 Higher Dimensions-eBHunImDmWw.mp4
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2.59 MB
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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4
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5.13 MB
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08. Why Neural Networks-zAkzOZntK6Y.mp4
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982.27 KB
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09. AND And OR Perceptrons-45K5N0P9wJk.mp4
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2.68 MB
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09. XOR Perceptron-TF83GfjYLdw.mp4
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947 KB
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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4
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3.66 MB
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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4
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260.01 KB
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10. Perceptron Algorithm--zhTROHtscQ.mp4
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1.92 MB
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11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4
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2.87 MB
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12. Non-Linear Regions-B8UrWnHh1Wc.mp4
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1.33 MB
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13. Error Functions-YfUUunxWIJw.mp4
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3.54 MB
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14. Error Functions-jfKShxGAbok.mp4
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7.21 MB
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15. Discrete vs Continuous-rdP-RPDFkl0.mp4
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2.26 MB
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15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4
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5.35 MB
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16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4
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4.01 MB
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16. DL 18 S Softmax-n8S-v_LCTms.mp4
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1.95 MB
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