Hi, Well come to Fahad Hussain Free Computer Education Here you can learn Complete computer Science, IT related course absolutely Free! Do, Subscribe the Channel and keep visiting this site!
We know Deep learning is one the fast growing course of these days, and a lot of researches have been done on it. Therefore I got understand the need to these course in Hindi / Urdu for your ease. In this course you can learn a lot of things from very scratch...
The whole course base on the concept of Theory and Practical! For Further Assistance and code visit: https://fahadhussaincs.blogspot.com/ For Complete course YouTube Channel: https://www.youtube.com/channel/UCapJpINJKHzflWwCQ8Kse2g/playlists
We know Deep learning is one the fast growing course of these days, and a lot of researches have been done on it. Therefore I got understand the need to these course in Hindi / Urdu for your ease. In this course you can learn a lot of things from very scratch...
- Artificial Neural Network
- Convolutional neural network
- Recurrent neural network
- Boltzmann machine Vs Deep BM
- Self organizing maps
- Autoencoder
- GAN (Generative Adversarial Network)
- Deep Q Learning
- Pre Train Model (CNN Architecture and many more..)
The whole course base on the concept of Theory and Practical! For Further Assistance and code visit: https://fahadhussaincs.blogspot.com/ For Complete course YouTube Channel: https://www.youtube.com/channel/UCapJpINJKHzflWwCQ8Kse2g/playlists
Session / Tutorial No. 01:
Click to WATCH the Series of Videos
Session / Tutorial No. 02: What is Neuron and its working in deep learning | What is Perceptron neural network
Click to WATCH the Series of Videos
Session / Tutorial No. 03: Activation Functions for Neural Networks | Threshold, Sigmoid, Relu, Tanh, Softmax A.F
Click to WATCH the Series of Videos
Session / Tutorial No. 04: How Neural Network work in Perceptron and ANN | Back propagation in Perceptron and ANN
Click to WATCH the Series of Videos
Session / Tutorial No. 05: What is Bias and Gradient descent | All types of Gradient descent in Deep learning
Click to WATCH the Series of Videos
Session / Tutorial No. 06: Stochastic Gradient Descent in Deep learning In Hindi/Urdu | SGA vs GD
Click to WATCH the Series of Videos
Session / Tutorial No. 07: Mini batch gradient descent in Hindi/Urdu | GD vs SGD vs MBGD
Click to WATCH the Series of Videos
Session / Tutorial No. 08: Different types of Neural Network in Hindi/Urdu | Types of Neural Network Architectures
Click to WATCH the Series of Videos
Session / Tutorial No. 09: How Neural Network work | What is Keras and Tensorflow in Hindi | Google Colab in Hindi
Click to WATCH the Series of Videos
Session / Tutorial No. 10: Artificial Neural Network in python using Keras (Breast Cancer Dataset) | ANN using BCD
Click to WATCH the Series of Videos
Session / Tutorial No. 11: Artificial neural network using iris Dataset | Multiclass classification using ANN
Click to WATCH the Series of Videos
Session / Tutorial No. 12: Regression in Neural Network using Keras | keras regression based neural network
Click to WATCH the Series of Videos
Session / Tutorial No. 13: Bias Variance Tradeoff and Irreducible Error | Bias Variance Overfitting & Underfitting
Click to WATCH the Series of Videos
Session / Tutorial No. 14: K-Fold Cross Validation using Keras Python | K-Fold Cross-Validation in Neural Network
Click to WATCH the Series of Videos
Session / Tutorial No. 15: Lasso and Ridge regression explained in Hindi/Urdu | L1 and L2 regularization in Hindi
Click to WATCH the Series of Videos
Session / Tutorial No. 16: Regularization Ridge and Lasso Regression using Python | Regularization BOSTON HOUSE
Click to WATCH the Series of Videos
Session / Tutorial No. 17: Regularization Ridge and Lasso Regression using Python | Regularization BOSTON HOUSE
Click to WATCH the Series of Videos
Session / Tutorial No. 19 to 22 : Gradient Descent and all types of Optimizes...
Session / Tutorial No. 23 to 29 : Convolutional Neural Network Theory and Practical all...
Session / Tutorial No. 30 - 35 : Recurrent Neural Network Theory and Practical all slides...
Click to WATCH the Series of Videos
Session / Tutorial No. 36 - 38 : Self Organizing Map Theory and Practical all slides...
Session / Tutorial No. 39 - 43 : Boltzmann and Restricted Boltzmann Theory and Practical all slides...
Click to WATCH the Series of Videos
Session / Tutorial No. 44 : Autoencoder Architecture and its complete Training Theory and Practical all slides...
Click to WATCH the Series of Videos
Session / Tutorial No. 48-53 : Autoencoder Types and Practical Work, Theory and Practical all slides...
Click to WATCH the Series of Videos
Session / Tutorial No. 54-61 : Autoencoder Types and Practical Work, Theory and Practical all slides...
Click to WATCH the Series of Videos
The Wonderful journey of Deep Learning
come to END here, Now stay in touch, NLP
course from scratch will be started SOON,
till then Enjoy Learning....
Hello sir I am Shivang Saxena i just want
ReplyDeleteTo know that how many videos of deep
Learning remaining in this series .
Sir a request from my side please do a mention link of dataset to their respect videos on youtube. we find it difficult to search dataset, if a link will be mention it will be convenient. Thanks
ReplyDeleteSir muze program samazne me time lagta hai DL ka , aur bohot sara confussion create ho jata hai
ReplyDeleteSir please aageke slides jaldise upload krdo
ReplyDeletesir please send us next slides
ReplyDeleteSir, Can I see the outcome of context vector (hidden states) of an encoder, in LSTM.
ReplyDeleteSir, Can I view/see the output of context vector (hidden states) of LSTM encoder part only, before processed by decoder.
ReplyDeleteAOA Sir, Can we retrieve the output of hidden states for LSTM encoder part.
ReplyDeleteSir, can we retrieve the hidden states of an LSTM encoder, before utilized by the decoder.
ReplyDeletei have never ever see a teacher on youtube in urdu/hindi language who teaches like you. welldone sir. may allah ore increase your power of teaching. your teaching is extremely best.
ReplyDeletesir, we would like to request to you that plz in this pandemic go in advanced deep learning so that we may understand more concepts about deep learning. please sir. upload more videos and projects on deep learning.
we want to learn from you sir.
inshallah we will also suggest our friends to pay visit to your channel. and we will do our entire hardwork to revolutionize your channel as we see high level of stuff and teaching from you
i want code for autoencoder recommendation system.which is not listed here
ReplyDeletesalam sir! sir we should to remember that project is most important in the couse.
ReplyDeleteBrother, will you be creating a AI course as well. I have tried to learn ML, DL but got to understand from your courses only. Hoping you will create the AI course as well.
ReplyDeleteSir plz mnist dataset ki jagah coding mein hm apna dataset kasiay fit kar sakty hain?
ReplyDeleteThanks
ReplyDeletesir i am used simple 3 to 4 layer deep ANN for classifying different kinds of DDoS attacks on a router or switch. but my accuracy is only 67 to 68%. how can improve my accuracy and how we can we use LSTM on that simple intiger data. because I've read some research papers where LSTM works better as compare to other algorithms. please guide me and give some hints for my research. thanks
ReplyDeleteSir,
ReplyDeleteYour tutorials are fabulous. I am from India i have never seen any you-tuber who explain things like you in Hindi. I really impressed. Thank you.
Sir, Kindly share any material Related Image Dehazing
ReplyDeletevery nice lectures
ReplyDeletegreat
ReplyDeleteExcellent Sir, May God Bless
ReplyDelete