Computer Vision and GANs(20%)

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Natural Language Processing (NLP)(15%)

~Natural Language Processing using Python
~Transform Text File into Data Structures
~Word Embeddings and Text Distance
~MetricsDocument, Sentence, and Character-Level Embeddings
~Text Data Analysis

Deep Reinforcement Learning(8%)

~Deep Q Network (DQN)
~Deep Q-Learning
~Actor-Critic and Policy Gradient
~Method Learning DDPG, TD3, and SAC

Deep Learning(17%)

~TensorFlow and its Functionalities
~Deep Learning with TensorFlow on the Cloud
~TensorFlow for Mobile and IoT
~Life Cycle of Model Creation
~Deep Learning with KERAS
~Activation Functions
~Confusion Matrix
~Underfitting and Overfitting

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