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Eugene Charniak's Introduction to Deep Learning is an introductory book that provides a systematic overview of modern deep learning techniques and models. The book begins with feed-forward neural networks and introduces their implementation using TensorFlow. The next section presents convolutional neural networks (CNNs) for image data processing and sequence models such as word embeddings and feedback neural networks (RNNs). The author also discusses sequence-to-sequence learning and deep reinforcement learning. The final section introduces unsupervised deep learning models, helping readers grasp important research directions and applications of deep learning.