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Deep Learning : ANN, CNN, RNN, LSTM, GRU


A practical Deep Learning


Course Curriculum


  Section 1:
Available in days
days after you enroll
  • Lesson 1 (45:32)
  • Lesson 2 (18:10)
  • Lesson 3 (39:43)
  • Lesson 4 (47:41)
  Section 2:
Available in days
days after you enroll
  • Lesson 5 (50:11)
  • Lesson 6 (29:21)
  • Lesson 7 (75:32)
  • Lesson 8 (32:39)
  • Lesson 9 (48:20)
  • Lesson 10 (51:00)
  Section 3:
Available in days
days after you enroll
  • Lesson 11 (50:15)
  • Lesson 12 (54:34)
  • Lesson 13 (32:55)
  • Lesson 14 (22:52)
  • Lesson 15 (26:23)
  • Lesson 16 (30:36)
  • Lesson 17 (28:19)
  Section 4: RNN
Available in days
days after you enroll
  • RNN 1 (56:05)
  • RNN 2 (40:48)
  • RNN 3 (43:31)
  • RNN 4 (57:47)
  • RNN 5 - Implementation with PYTHON (56:17)
  • RNN 6 (44:31)
  • RNN 7 (70:16)
  • RNN 8 (47:00)
  • RNN 9 (70:16)
  • RNN 10 (33:13)
  • RNN 11 (59:11)
  Section 5: LSTM
Available in days
days after you enroll
  • LSTM 1 (57:48)

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