CNN Architectures: Alex Net, Le Net, VGG, Google Net, Res Net
M. Swapna1, Yogesh Kumar Sharma2, B M G Prasadh3

1M.Swapna, Research Scholar , Department of CSE, JJT University, Jhunjhunu, Rajasthan, India.
2Dr.Yogesh Kumar Sharma, Associate Professor, Department of CSE, JJT University, Jhunjhunu, Rajasthan, India.
3Dr. BMG Prasad, Professor, Department of CSE, Holy Mary Institute. Hyderabad, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 953-960 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9532038620/2020©BEIESP | DOI: 10.35940/ijrte.F9532.038620

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Abstract: Convolutional Neural Networks(CNNs) are a floating area in Deep Learning. Now a days CNNs are used inside the more note worthy some portion of the Object Recognition tasks. It is used in stand-out utility regions like Speech Recognition, Pattern Acknowledgment, Computer Vision, Object Detection and extraordinary photograph handling programs. CNN orders the realities in light of an opportunity regard. Right now, inside and out assessment of CNN shape and projects are built up. A relative examine of different assortments of CNN are too portrayed on this work.
Keywords: Convolutional Neural Network Architecture, ANN, Lenet-5.
Scope of the Article: Network Architectures.