Review of current neural architectures used

These are the current 4 neural approaches explored for controlling the robot.

Pilotnet

Pilotnet rachitecture

• BatchNorm
• Conv2D x 5
• Flatten
• Dense x 5

Deepest LSTM TinyPilotnet

Deepest LSTM TinyPilotnet

• Conv2D * 3
• Dropout
• Reshape
• ConvLSTM * 3
• Flatten
• Dense * 3

Pilotnet 3D (with memory)

Pilotnet rachitecture 3D (with memory)

• BatchNorm
• Conv3D x 5
• Flatten
• Dense x 5

Deepest LSTM TinyPilotnet 3D (with memory)

Deepest LSTM TinyPilotnet 3D (with memory)

• TimeDistributed(Conv2D) * 3
• Dropout
• Reshape
• ConvLSTM * 3
• Flatten
• Dense * 3