Deep Learning Tutorials

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1
Introduction to Deep Learning
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2
Data Preprocessing for Deep Learning
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3
Convolutional Neural Networks
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6
Recurrent Neural Networks (RNNs)
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5
Long Short Term Memory (LSTM) Networks
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4
Transformers
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7
Generative Adversarial Networks
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8
Autoencoder
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9
Variational Autoencoders
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12
Diffusion Architecture
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11
Reinforcement Learning in Deep Learning
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10
Optimization Algorithms for Deep Learning
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13
Regularization Techniques
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14
Model Tracking and Accuracy Analysis
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15
Hyperparameter Tuning Techniques
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18
Transfer Learning
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17
Deployment of Deep Learning Models with REST API
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16
Deep Learning on Cloud Platforms
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19
Mathematical Foundations for Deep Learning