├── README.md ├── Week 1 - Expert Systems and MachineLearning.pdf ├── Week 10 - Information Theory and Gradient Descent of SigmoidNeuron.pdf ├── Week 11 - Power of functions.pdf ├── Week 12 - Feed-forward NeuralNetwork.pdf ├── Week 13 - Back Propagation.pdf ├── Week 2 - MachineLearningA birds eyeview.pdf ├── Week 3 - Vectors andMatrices.pdf ├── Week 4 -McCulloch-Pitts Neuron.pdf ├── Week 5 - Perceptron.pdf ├── Week 6 - Toy Sample Dataset Sample Using Perceptron Model.pdf ├── Week 7 - Sigmoid Neuron.pdf ├── Week 8 - Math Part of SigmoidNeuron.pdf ├── Week 9 - Probability Part of SigmoidNeuron.pdf └── Week-14-Back Propagation(Vectorised or Heavy-Math part).pdf /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/README.md -------------------------------------------------------------------------------- /Week 1 - Expert Systems and MachineLearning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 1 - Expert Systems and MachineLearning.pdf -------------------------------------------------------------------------------- /Week 10 - Information Theory and Gradient Descent of SigmoidNeuron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 10 - Information Theory and Gradient Descent of SigmoidNeuron.pdf -------------------------------------------------------------------------------- /Week 11 - Power of functions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 11 - Power of functions.pdf -------------------------------------------------------------------------------- /Week 12 - Feed-forward NeuralNetwork.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 12 - Feed-forward NeuralNetwork.pdf -------------------------------------------------------------------------------- /Week 13 - Back Propagation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 13 - Back Propagation.pdf -------------------------------------------------------------------------------- /Week 2 - MachineLearningA birds eyeview.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 2 - MachineLearningA birds eyeview.pdf -------------------------------------------------------------------------------- /Week 3 - Vectors andMatrices.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 3 - Vectors andMatrices.pdf -------------------------------------------------------------------------------- /Week 4 -McCulloch-Pitts Neuron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 4 -McCulloch-Pitts Neuron.pdf -------------------------------------------------------------------------------- /Week 5 - Perceptron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 5 - Perceptron.pdf -------------------------------------------------------------------------------- /Week 6 - Toy Sample Dataset Sample Using Perceptron Model.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 6 - Toy Sample Dataset Sample Using Perceptron Model.pdf -------------------------------------------------------------------------------- /Week 7 - Sigmoid Neuron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 7 - Sigmoid Neuron.pdf -------------------------------------------------------------------------------- /Week 8 - Math Part of SigmoidNeuron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 8 - Math Part of SigmoidNeuron.pdf -------------------------------------------------------------------------------- /Week 9 - Probability Part of SigmoidNeuron.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week 9 - Probability Part of SigmoidNeuron.pdf -------------------------------------------------------------------------------- /Week-14-Back Propagation(Vectorised or Heavy-Math part).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dnmanveet/PadhAI-A-First-Course-on-Deep-Learning-Detailed-Notes/HEAD/Week-14-Back Propagation(Vectorised or Heavy-Math part).pdf --------------------------------------------------------------------------------