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Week
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Topics
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Study Metarials
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1
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Introduction to Deep Learning
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R1-Part-1
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2
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Deep Learning History
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R1-Part-2
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3
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Deep Learning Architectures
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R1-Part-2
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4
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Deep Learning Libraries
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R1-Part-2
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5
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Deep Learning Algorithms : Deep Boltzmann Machine (DBM) & Deep Belief Networks (DBN)
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R1-Part-5
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6
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Deep Learning Algorithms : Recurrent Neural Networks (RNNs) & Long Short-Term Memory Networks (LSTMs)
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R1-Part-5
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7
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Deep Learning Algorithms : Convolutional Neural Network (CNN)
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R1-Part-5
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8
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Creating Deep Neural Network Model: Definition
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R1-Part-10
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9
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Creating Deep Neural Network Model: Image Pre-Processing
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R1-Part-10
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10
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Creating Deep Neural Network Model: Model Parameters
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R1-Part-10
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11
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Hyper-Parameters
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R1-Part-10
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12
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Pooling, Optimization and Drop-Out
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R1-Part-10
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13
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Classification
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R1-Part-10
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14
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Data Visualization
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R1-Part-10
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