Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car論文筆記
這一系統通過學習人類駕駛者的操縱方式來學習駕駛汽車。神經網絡通過車上安裝的攝像頭收集路面情況，隨後將圖像和駕駛者動作的記錄進行配對。研究者們記錄了大量不同環境中的駕駛數據：有畫線和沒有畫線的道路；鄉間小路和高速公路；一天中不同光照條件下的同一段路，以及不同天氣條件下的道路環境。 通過觀察，神經網絡通過訓練在完全沒有手動輸入編程指令的情況下學會了如何駕駛 BB8。現在這個神經網絡已經可以在未遇到過的
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