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I have learned about type of neural network

I've learned about the types of Neural Network and it's types... FNN, CNN, RNN, LATMs, GRU, RBF, SOMs, DBNs, GANs, NTMs

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.