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		01 Aug 28 What is Deep Learning[Video] ⓘ
		02 Aug 30 Probability - PAC Learning - Linear Algebra [Video] ⓘ
		03 Sep 6 Finish Linear Algebra Perceptrons[Video] ⓘ
		04 Sep 11 Perceptron Learning Python[Video] ⓘ
		05 Sep 13 Python[Video] ⓘ
		06 Sep 18 Finish Python First Pass[Video] ⓘ
		07 Sep 20 Perceptron Upper and Lower Bounds[Video] ⓘ
		08 Sep20 Perceptron Networks and p-time algorithms - SVMs[Video] ⓘ
		09 Sep 27 SVM Training Python Libraries Numpy and Pillow[Video] ⓘ
		10 Oct 9 Numpy Pillow[Video] ⓘ
		11 Oct 11 Neural Net Experiments - Feedforward Networks[Video] ⓘ
		12 Oct 16 Cost Functions - Output Layers[Video] ⓘ
		13 Oct 18 Hidden Units Stochastic Gradient Descent[Video] ⓘ
		14 Oct 23 Backpropagation TensorFlow[Video] ⓘ
		15 Oct 25 More TensorFlow Regularization[Video] ⓘ
		16 Nov 6 More Regularization[Video] ⓘ
		17 Nov 8 Finish Regularization - Optimization[Video] ⓘ
		18 Nov 13 Finish Optimization CNNs[Video] ⓘ
		19 Nov 15 CNNs and RNNs[Video] ⓘ
		20 Nov 20 Recurrent Neural Networks[Video] ⓘ
		21 Nov 27 Finish RNNs Neural Network Tuning[Video] ⓘ
		22 Nov 29 NN Design Methodolody[Video] ⓘ
		23 Dec 4 Finish NN Design - NN Applications[Video] ⓘ
		24 Dec 6 More NN Applications[Video] ⓘ