Starting a new Lecture Notes Series on 100 Days of Deep Learning
Youtube Lecture Playlist CreditsChannel Name: CampusX
So Let Us Start to This Journey of Learning
100 Days of Deep Learning By Lecture Notes together!
Lecture 45: CNN Architecture | LeNet -5 Architecture
Lecture 46: Comparing CNN Vs ANN | CampusX
Lecture 47: Backpropagation in CNN | Part 1 | Deep Learning
Lecture 48: CNN Backpropagation Part 2 | How Backpropagation works on Convolution, Maxpooling and Flatten Layers
Lecture 50: Data Augmentation in Deep Learning | CNN
Lecture 53: What is Transfer Learning? Transfer Learning in Keras | Fine Tuning Vs Feature Extraction
Lecture 55: Why RNNs are needed | RNNs Vs ANNs | RNN Part 1
Lecture 60: Problems with RNN | 100 Days of Deep Learning
Lecture 62: LSTM Architecture | Part 2 | The How? | CampusX
Lecture 70: Bahdanau Attention Vs Luong Attention
Lecture 76: Why is Self Attention called "Self"? | Self Attention Vs Luong Attention in Depth Lecture | CampusX
Lecture 77: What is Multi-head Attention in Transformers | Multi-head Attention v Self Attention | Deep Learning
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