Deep learning from Scratch | Deep learning Complete Course in Hindi/Urdu | Deep learning Tutorial | Deep learning with Fahad Hussain
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This course includes
- 15 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 61 lessons • 15 hours of video
Deep learning from Scratch | Deep learning Complete Course in Hindi/Urdu | Deep learning Tutorial | Deep learning with Fahad Hussain
61 lessons
• 15 hours
Deep learning from Scratch | Deep learning Complete Course in Hindi/Urdu | Deep learning Tutorial | Deep learning with Fahad Hussain
61 lessons
• 15 hours
- Tutorial 01: Introduction to Deep learning | Deep learning course syllabus | DL with Fahad Hussain 08:17
- Tutorial 02: What is Neuron and its working in deep learning | What is Perceptron neural network 09:31
- Tutorial 03: Activation Functions for Neural Networks | Threshold, Sigmoid, Relu, Tanh, Softmax A.F 16:33
- Tutorial 04: How Neural Network work in Perceptron and ANN | Back propagation in Perceptron and ANN 15:26
- Tutorial 05: What is Bias and Gradient descent | All types of Gradient descent in Deep learning 17:28
- Tutorial 06: Stochastic Gradient Descent in Deep learning In Hindi/Urdu | SGA vs GD 08:07
- Tutorial 07: Mini batch gradient descent in Hindi/Urdu | GD vs SGD vs MBGD 05:01
- Tutorial 08: Different types of Neural Network in Hindi/Urdu | Types of Neural Network Architectures 13:29
- Tutorial 09: How Neural Network work | What is Keras and Tensorflow in Hindi | Google Colab in Hindi 16:05
- Tutorial 10: Artificial Neural Network in python using Keras (Breast Cancer Dataset) | ANN using BCD 30:43
- Tutorial 11: Artificial neural network using iris Dataset | Multiclass classification using ANN 11:09
- Tutorial 12:Regression in Neural Network using Keras | keras regression based neural network 18:04
- Tutorial 13:Bias Variance Tradeoff and Irreducible Error | Bias Variance Overfitting & Underfitting 15:20
- Tutorial 14: K-Fold Cross Validation using Keras Python | K-Fold Cross-Validation in Neural Network 10:34
- Tutorial 15: Lasso and Ridge regression explained in Hindi/Urdu | L1 and L2 regularization in Hindi 09:58
- Tutorial 16: Regularization Ridge and Lasso Regression using Python | Regularization BOSTON HOUSE 12:00
- Tutorial 17: Understanding Dropout in Deep Learning | Dropout in Neural networks using Python 08:24
- Tutorial 18: Hyperparameter tuning in Hindi/Urdu | Parameter Vs Hyperparameter | GridSearchCV in DL 18:33
- Tutorial 19: Gradient descent with momentum in Hindi/Urdu | What is Optimizer in deep learning 13:50
- Tutorial 20: Adagrad Optimizer in Neural Network in Hindi/Urdu|Adaptive gradient optimizer in Hindi 09:20
- Tutorial 21: AdaDelta and RMSprop optimizer in deep learning Hindi/Urdu in very easy way 12:19
- Tutorial 22:Adam optimizer in Deep learning in Hindi/Urdu | Adaptive Moment Estimation in Hindi/Urdu 07:50
- Tutorial 23: Part 1, Convolutional Neural Network in Hindi/Urdu | What is CNN, Feature map, Filters 12:48
- Tutorial 24: Part 2, Convolutional Neural Network in Hinidi|What is Feature Detector and Feature Map 12:10
- Tutorial 25: Part 3-Final, Conv. Neural Network in Hindi all steps using softmax and cross entropy 23:21
- Tutorial 26:Practical implementation of Convolutional Neural Networks in python using Keras in Colab 30:51
- Tutorial 27: What is .flow(x, y) method in Kears, CNN in python Keras using Colab from Scratch 10:08
- Tutorial 28: What is MNIST DATASET, CNN using MNIST DATASET | Convolutional Neural Network - MNIST 21:31
- Tutorial 29: What is FASHION MNIST DATASET, Convolutional Neural Network using FASHION MNIST DATASET 08:16
- Tutorial 30: What are Recurrent Neural Networks (RNN) in Hindi using basic Example with LSTM concept 13:08
- Tutorial 31:Recurrent Neural Network friendly understanding Vanishing and Exploding Gradient Problem 14:19
- Tutorial 32: What is Long Short Term Memory LSTM and GRU and how does it work? RNN vs LSTM vs GRU 23:18
- Tutorial 33: LSTM Practical work in python using text classification dataset |Spam vs Ham using LSTM 14:37
- Tutorial 34: LSTM using IRIS dataset in python | LSTM using image dataset in python 10:18
- Tutorial 35: Google Stock Price data set using Python|Google stock price prediction using LSTM 25:59
- Tutorial 36: Complete Self (Kohonen) Organizing Map-SOM in Hindi/Urdu | What is Self Organizing Map 21:34
- Tutorial 37: Advance Self Organizing Map SOM in Hindi/Urdu with the concept of Clustering (K Means) 15:59
- Tutorial 38: Practical implementation of Self Organizing Map SOM in Hindi/Urdu using IRIS Data Set 16:20
- Tutorial 39: What is Boltzmann machine in deep learning | Boltzmann distribution, Boltzmann Factor 17:19
- Tutorial 40:Complete Restricted Boltzmann machine in Hindi/Urdu including training and testing - RBM 18:02
- Tutorial 41: Contrastive divergence and Gibbs sampling in Restricted Boltzmann Machine in Hindi/Urdu 17:02
- Tutorial 42: Part 1: Recommendation System using Restricted Boltzmann Machine |Practical work of RBM 11:13
- Tutorial 43: Part 2: Recommendation System using Restricted Boltzmann Machine |Practical work of RBM 15:28
- Tutorial 44: What is Autoencoder in Hindi/Urdu | Autoencoder Architecture and its complete Training 14:18
- Tutorial 45: Part 1,Types of Autoencoder | Overcomplete,Denoising,Stack Sparce and Deep Autoencoders 13:56
- Tutorial 46: Part 2,Types of Autoencoders | Undercomplete,Contractive, Convolutional,Variational A.E 14:18
- Tutorial 47: Movies Rating base Recommendation System using Stack Autoencoder Python in Hindi/Urdu 14:22
- Tutorial 48: Part 1: Statistics behind GAN (Generative adversarial network) | Probability its types 16:27
- Tutorial 49: Part 2: How GAN Generative adversarial network work | GAN Complete training and testing 16:49
- Tutorial 50: Math Behind in generative adversarial network GAN | Loss function of GAN in Urdu/Hindi 08:03
- Tutorial 51: Applied Application of GAN|Top Applications of generative adversarial networks in Hindi 07:13
- Tutorial 52: Types of Generative adversarial network in Hindi/Urdu | VGAN DCGAN CGAN SRGAN info GAN 12:44
- Tutorial 53: Practical implementation of DCGAN using python CIFAR-20 Data Set | DCGAN using Python 31:30
- Tutorial 54: Reinforcement Learning in Machine Learning/Deep learning | What is Agent & Environment 11:31
- Tutorial 55: Markov decision process in Reinforcement Learning | Markov Chain Process Property 19:10
- Tutorial 56: Hidden Markov Model Process in Reinforcement Learning | HMM in Reinforcement Learning 10:09
- Tutorial 57: Bellman Equation and Q Learning in Reinforcement Learning for Optimality in Urdu/Hindi 19:56
- Tutorial 58: Q Learning Practical using Python | Reinforcement Q Learning in AI Python Hindi / Urdu 14:50
- Tutorial 59: SARSA Algorithm in Reinforcement Learning | On-Policy VS OFF-Policy in RL 14:01
- Tutorial 60:Practical SARSA Algorithm in Python|State Action Reward State Action in Python using GYM 11:27
- Tutorial 61: Final Words for the course Deep Learning from Scratch | Final session of Deep learning 07:49
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