Google發布的第二代深度學習係統TensorFlow

VIP內容

隨著新代碼、新項目和新章節的推出,第二版為讀者提供了一個堅實的機器學習基礎,並為讀者提供了一個完整的學習概念。由NASA噴氣推進實驗室副首席技術官和首席數據科學家Chris Mattmann編寫,所有的例子都伴隨著可下載的Jupyter筆記本,以親身體驗用Python編寫TensorFlow。新的和修訂的內容擴大了核心機器學習算法的覆蓋麵,以及神經網絡的進步,如VGG-Face人臉識別分類器和深度語音分類器。

https://www.manning.com/books/machine-learning-with-tensorflow-second-edition

使用TensorFlow的機器學習,第二版是使用Python和TensorFlow構建機器學習模型的完全指南。您將把核心ML概念應用於現實世界的挑戰,如情感分析、文本分類和圖像識別。實例演示了用於深度語音處理、麵部識別和CIFAR-10自動編碼的神經網絡技術。

成為VIP會員查看完整內容
3
54
0

最新內容

0
0
0

最新論文

Communication is defined as the act of sharing or exchanging information, ideas or feelings. To establish communication between two people, both of them are required to have knowledge and understanding of a common language. But in the case of deaf and dumb people, the means of communication are different. Deaf is the inability to hear and dumb is the inability to speak. They communicate using sign language among themselves and with normal people but normal people do not take seriously the importance of sign language. Not everyone possesses the knowledge and understanding of sign language which makes communication difficult between a normal person and a deaf and dumb person. To overcome this barrier, one can build a model based on machine learning. A model can be trained to recognize different gestures of sign language and translate them into English. This will help a lot of people in communicating and conversing with deaf and dumb people. The existing Indian Sing Language Recognition systems are designed using machine learning algorithms with single and double-handed gestures but they are not real-time. In this paper, we propose a method to create an Indian Sign Language dataset using a webcam and then using transfer learning, train a TensorFlow model to create a real-time Sign Language Recognition system. The system achieves a good level of accuracy even with a limited size dataset.

0
0
0
下載
預覽
微信掃碼谘詢專知VIP會員
Top