Crookshanks' Academy
Data Analysis

Deep Learning

6 Seasons · 36 Episodes · 0/36 watched

A binge-worthy 6-season journey through Deep Learning. Learn to turn raw numbers into decisions — one episode at a time.

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About this course

A binge-worthy 6-season journey through Deep Learning. Learn to turn raw numbers into decisions — one episode at a time.

Deep Learning is a free, self-paced data analysis course from Crookshanks' Academy. It contains 36 video lessons organised into 6 seasons, each with study notes and a practice task. Track your progress as you go and earn a certificate of completion when you finish every episode.

What you'll learn

Season 1

  • Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
  • Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
  • What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)
  • Neural Network Simply Explained | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python)
  • Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)
  • Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)

Season 2

  • Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)
  • Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python)
  • Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
  • Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
  • Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python)
  • Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python)

Season 3

  • Implement Neural Network In Python | Deep Learning Tutorial 13 (Tensorflow2.0, Keras & Python)
  • Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent |DL Tutorial 14
  • Chain Rule | Deep Learning Tutorial 15 (Tensorflow2.0, Keras & Python)
  • Tensorboard Introduction | Deep Learning Tutorial 16 (Tensorflow2.0, Keras & Python)
  • GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python)
  • Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)

Season 4

  • Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
  • Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)
  • Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)
  • Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
  • Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)
  • Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)

Season 5

  • Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)
  • Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
  • Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)
  • Image classification vs Object detection vs Image Segmentation | Deep Learning Tutorial 28
  • Popular datasets for computer vision: ImageNet, Coco and Google Open images | Deep Learning 29
  • Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)

Season 6

  • What is YOLO algorithm? | Deep Learning Tutorial 31 (Tensorflow, Keras & Python)
  • Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow)
  • What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
  • Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
  • Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
  • Simple Explanation of LSTM | Deep Learning Tutorial 36 (Tensorflow, Keras & Python)

Episodes

  1. 1
    Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
  2. 2
    Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
  3. 3
    What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)
  4. 4
    Neural Network Simply Explained | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python)
  5. 5
    Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)
  6. 6
    Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)