Done

done once again

There are thirteen types of neural network define in this lecture

I learned in this lecture about type of neural network (feedforward neural network (FNN), convolutional neural network (CNNs), recurrent neural network (RNNs), long-short memory networks (LSTMs), radial basis function (RBF) neural networks, self-organizing maps (SOMs), deep belief networks (DBNs), generative adversarial networks (GANs), autoencoders, modular neural networks, neural turning machines (NTMs), capsule neural network).

I learned in this video (1. Feedforward Neural Network (FNN):, 2. Recurrent Neural Network (RNN):, 3. Convolutional Neural Network (CNN):, 4. Long Short-Term Memory (LSTM) Networks, 5. Generative Adversarial Network (GAN):, 6. Autoencoder, 7. Radial Basis Function (RBF) Network, and 8. Self-Organizing Map (SOM):).

We learned, in this lecture, types of neural network. 1-feedforward neutral network (FNN) for basic and simple classification and regression task..2-Convolutional neutral network(CNN):it used for image recognition , video analysis

I learned in this lecture about types of Neural Network which are1-Feedforward Neural Network (FNN) (Simple, basic classification and regression task)2-Convolutional Neural Network (CNN) (Moderate, image recognition,video analysis,image classification)3-Recurrent Neural Networks (RNNs) (Modrate, sequence modeling, NLP, speech recognition)4-Long Short-Term Memory Networks (LSTMs) (Modrate, text generation, machine translation, and learning long-term dependencies in sequence data)5-Radial Basis Function (RBF) Neural Network (Modrate, function approximation, time series prediction)6-Self-Organizing Maps (SOMs) (Modrate visualization of high-dimensional data,dimensionality reduction, clustering)7-Deep Belief Networks (DBNs) (HIgh, image recognition, video recognition, motion capture data analysis)8-Generative Adversarial Network (GANs) (High, generate new data sample like image, texts,etc)9-Autoencoder (High, dimensionality reduction, feature learning, noise reduction, and data generation)10-Modular Neural Network (High, complex pattern recognition problems)11-Neural Training Machines (NTMs) (Very High, complex problem-solving tasks)12-Capsule Neural Network (Very High, image analysis, and object recognition).ALLAH PAK aap ko sahat o aafiyat wali lambi umar ata kray aor ap ko dono jahan ki bhalian naseeb farmaey aur aap ke walid-e-mohtram ko karwat karwat jannat ata farmaye,Ameen.