other words, the above equation scales the gradients from Gradient Descent with a reward signal . The reward signal is based on the accuracy of the child network over the dataset of interest. The policy networks. NASNet searches for the cells that are fitted into a hand-designed child network. The reward signal to the controller is still based on the performance of the child network which tunes it to search for a target child. The early RL based NAS models used the validation accuracy as a primary reward signal which is perfect for the applications that have sufficient compute resources at their disposal. However

weather and time. The fourth class (none) indicates the absence of an acceptable keyword in the input signal. Figure 3-4: Workflow of a home-automation device which detects three spoken words: hello weather windows of the input. # Apply STFT on the audio data, but keep only the magnitude. x = tf.abs(tf.signal.stft(x, frame_length=256, frame_step=128)) # Convert the labels to a one-hot vector. y = keras

scipy.io 数据输入输出 scipy.linalg 线性代数 scipy.ndimage N维图像 scipy.odr 正交距离回归 scipy.optimize 优化算法 scipy.signal 信号处理 scipy.sparse 稀疏矩阵 scipy.spatial 空间数据结构和算法 scipy.special 特殊数学函数 scipy.stats 统计函数 69 Python模块-Matplotlib

scipy.io 数据输入输出 scipy.linalg 线性代数 scipy.ndimage N维图像 scipy.odr 正交距离回归 scipy.optimize 优化算法 scipy.signal 信号处理 scipy.sparse 稀疏矩阵 scipy.spatial 空间数据结构和算法 scipy.special 特殊数学函数 scipy.stats 统计函数 70 Python模块-Matplotlib

compression technique that has been used across different parts of Computer Science especially in signal processing. It is a process of converting high precision continuous values to low precision discrete

Schuster, M., & Paliwal, K. K. (1997). Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing, 45(11), 2673–2681. [Sennrich et al., 2015] Sennrich, R., Haddow, B., & Birch, A. (2015) conversational speech recognition system. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5934–5938). [You et al., 2017] You, Y., Gitman, I., & Ginsburg, B. (2017)