Published inArtificial Intelligence in Plain EnglishConvolutional AutoEncoders (CAE) with TensorflowAutoencoders has been in the deep learning literature for a long time now, most popular for data compression tasks. With their easy…Jan 25, 2021Jan 25, 2021
Published inAnalytics VidhyaAutoEncoders with TensorFlowAutoencoders are unsupervised neural network models that are used to learn to represent the data with fewer parameters. Data compression…Jan 24, 2021Jan 24, 2021
Published inThe StartupEssentials of Convolutional Neural Networks with LeNet, AlexNet, VGG, GoogleNet, and ResNetConvolutional Neural Networks or ConvNets or even in shorter CNNs are a family of neural networks that are commonly implemented in…Jan 22, 2021Jan 22, 2021
Published inThe StartupResNet with TensorFlow (Transfer Learning)ResNet owes its name to its residual blocks with skip connections that enable the model to be extremely deep. Even though including skip…Jan 21, 2021Jan 21, 2021
Published inArtificial Intelligence in Plain EnglishGoogLeNet (InceptionV1) with TensorFlowInceptionV1 or with a more remarkable name GoogLeNet is one of the most successful models of the earlier years of convolutional neural…Jan 21, 20212Jan 21, 20212
Published inArtificial Intelligence in Plain EnglishVGGNet with TensorFlow (Transfer Learning with VGG16 Included)VGG owes its name to the Visual Geometry Group of Oxford University. After being submitted to ILSVRC in 2014[1], the model VGGNet became…Jan 20, 2021Jan 20, 2021
Published inThe StartupAlexNet with TensorFlowAlexNet is an important milestone in the visual recognition tasks in terms of available hardware utilization and several architectural…Jan 19, 20213Jan 19, 20213
Published inAnalytics VidhyaLeNet with TensorFlowLeNet is considered to be the ancestor of convolutional neural networks and is a well-known model among the computer vision community.Jan 18, 2021Jan 18, 2021
