mrgrhninArtificial 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…6 min read·Jan 25, 2021----
mrgrhninAnalytics VidhyaAutoEncoders with TensorFlowAutoencoders are unsupervised neural network models that are used to learn to represent the data with fewer parameters. Data compression…8 min read·Jan 24, 2021----
mrgrhninThe 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…9 min read·Jan 22, 2021----
mrgrhninThe 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…7 min read·Jan 21, 2021----
mrgrhninArtificial 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…8 min read·Jan 21, 2021--2--2
mrgrhninArtificial 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…12 min read·Jan 20, 2021----
mrgrhninThe StartupAlexNet with TensorFlowAlexNet is an important milestone in the visual recognition tasks in terms of available hardware utilization and several architectural…9 min read·Jan 19, 2021--3--3
mrgrhninAnalytics VidhyaLeNet with TensorFlowLeNet is considered to be the ancestor of convolutional neural networks and is a well-known model among the computer vision community.6 min read·Jan 18, 2021----
