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Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)
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Deep Learning With Tensorflow 2.0, Keras and Python
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- 1 Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
- 2 Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
- 3 What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)
- 4 What is a Neural Network | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python)
- 5 Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)
- 6 Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)
- 7 Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)
- 8 Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python)
- 9 Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
- 10 Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
- 11 Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python)
- 12 Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python)
- 13 Implement Neural Network In Python | Deep Learning Tutorial 13 (Tensorflow2.0, Keras & Python)
- 14 Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent |DL Tutorial 14
- 15 Chain Rule | Deep Learning Tutorial 15 (Tensorflow2.0, Keras & Python)
- 16 Tensorboard Introduction | Deep Learning Tutorial 16 (Tensorflow2.0, Keras & Python)
- 17 GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python)
- 18 Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
- 19 Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
- 20 Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)
- 21 Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)
- 22 Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
- 23 Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)
- 24 Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)
- 25 Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)
- 26 Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
- 27 Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)
- 28 Image classification vs Object detection vs Image Segmentation | Deep Learning Tutorial 28
- 29 Popular datasets for computer vision: ImageNet, Coco and Google Open images | Deep Learning 29
- 30 Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)
- 31 What is YOLO algorithm? | Deep Learning Tutorial 31 (Tensorflow, Keras & Python)
- 32 Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow)
- 33 What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
- 34 Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
- 35 Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
- 36 Simple Explanation of LSTM | Deep Learning Tutorial 36 (Tensorflow, Keras & Python)
- 37 Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)
- 38 Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)
- 39 Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)
- 40 Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)
- 41 What is Word2Vec? A Simple Explanation | Deep Learning Tutorial 41 (Tensorflow, Keras & Python)
- 42 Word2Vec Part 2 | Implement word2vec in gensim | | Deep Learning Tutorial 42 with Python
- 43 Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python)
- 44 Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
- 45 Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)
- 46 What is BERT? | Deep Learning Tutorial 46 (Tensorflow, Keras & Python)
- 47 Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
- 48 tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
- 49 Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
